Tesi sul tema "Supply and demand"

Purpose: This research aims to enhance the current understanding and knowledge of the demand-supply chain management (DSCM) concept by determining its elements, benefits, and requirements, as well as by analyzing key elements of the concept. Methodology: This research has utilized the case study strategy and the survey strategy, however, the case study strategy dominates. The case study research has involved five companies originating from Sweden and the collection of empirical data mainly from in-depth interviews with key persons representing senior and middle management. The survey research targeted the largest firms in Sweden and Finland and empirical data was collected through an online questionnaire. Findings: This research has established that the main elements of DSCM include market orientation, coordination of the demand and supply processes, viewing the demand and supply processes as being equally important, as well as value creation, differentiation, innovativeness, responsiveness, and cost-efficiency in the demand and supply processes. It has also been revealed that the main benefits of DSCM include enhanced competiveness, enhanced demand chain performance, as well as enhanced supply chain performance, while the main requirements of DSCM include organizational competences, company established principles, demand-supply chain collaboration, and information technology support. A key element of DSCM further investigated is differentiation focused supply chain design. It has been shown that these efforts can be organized into a process of five stages. In addition, it is important that this process is addressed in parallel with the new product development (NPD) process, that information is exchanged between them, and that they are directed on the basis of the same segmentation model. Another key element of DSCM further investigated is coordination between NPD and SCM. This research has identified several significant linkages between these management directions, which motivate the use of an integrative NPD process where the NPD functions are aligned with the main supply functions in the company and other sales-related functions supporting the commercialization. A final key element of DSCM further investigated is the significance of regarding the demand processes and the supply processes as being equally important. This research has revealed that logistics outsourcing can be risky, if it results in the supply processes being considered less important. Nevertheless, if senior management regards the outsourced processes as equally important as the in-house processes, the effect of logistics outsourcing on company strategies and direction in SCM could be reduced and logistics outsourcing could instead provide an opportunity to improve the design and differentiation of the supply chain. Research limitations/implications: This research has proposed, described, and further analyzed a demand-supply oriented management approach. Such a management approach stresses that the demand processes and the supply processes have to be coordinated and directed at an overlying level, in order to gain and sustain a competitive advantage in competitive and fragmented markets. This research is mainly explorative in nature, and more empirical data, from similar and other research settings, is needed to further validate the findings. Another limitation of the research is that it is essentially limited to Swedish companies (even if some Finnish companies are involved in the survey), however, many of the case companies have a large international presence and are among the top three in their industries, facts which provide some grounds for generalization. Practical implications: This research provides researchers and practitioners with insights into how to develop a demand-supply oriented business. It shows that companies should organize themselves around understanding how customer value is created and delivered, as well as how these processes and management directions can be coordinated. In order for this to occur, the demand and supply processes must be considered as being equally important and the firm needs to be managed jointly and in a coordinated manner by the demand- and supply-side of the company. It is also important that value creation is considered in both the demand and supply processes. Originality/value: Despite strong arguments from both researchers and practitioners for a demand-supply oriented management approach only a minority of companies appear to have effectively coordinated the demand and supply processes. This might be influenced by the lack of research examining how the demand and supply processes can be coordinated, what benefits can be gained by coordinating them, and what requirements are necessary to succeed. This research contributes by investigating these types of aspects further.

Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2006.<br>Includes bibliographical references (leaves 73-75).<br>Globalization increases product variety and shortens product life cycles. These lead to an increase in demand uncertainty and variability. Outsourcing to low-cost countries increases supply lead-time and supply uncertainty and variability. Coupled with the increase of mergers and acquisitions, which increase supply chain complexity, and the unforgiving nature of having too little or too much inventory, these factors have accelerated the importance and adoption of the Sales and Operations Planning (S&OP) process. S&OP is driven by a cross functional team, with the purpose of balancing supply and demand with the objective of maximizing a company's goals. It manages the supply and demand uncertainties, balances the different internal and external stakeholders' interests, and aligns the operations towards its strategy and vision. In support of the Supply Chain 2020 Project at MIT, this thesis focuses on analyzing the S&OP function across industries. Using the Phase I SC 2020 theses, literature, white papers, and interviews with industry experts, this thesis compares and contrasts the S&OP practices across nine industries.<br>(cont.) It examines their best practices and underlying principles, as well as the macro factors that have shaped the practices for the last ten to fifteen years, as well as what is expected in the future. Companies with the "best" S&OP processes collaborate internally to balance sales and operations, and align all internal stakeholders' interests. Furthermore, they collaborate externally with suppliers and customers to reduce supply and demand uncertainties. They also understand and manage demand and supply uncertainties, and align their effort towards their goals. These companies synchronize operations and are agile to changing environments.<br>by Peng Kuan Tan.<br>M.Eng.in Logistics

The aim of this thesis is to extend the empirical research which has been undertaken using the GNP function approach to measuring export supply and import demand responsiveness. Exports and imports are divided into several components and detailed sets of elasticities produced. In the second part o£ the thesis imperfect adjustment is allowed for in the GNP function model. The GNP function framework treats imports as an input to the domestic technology while exports are an output. The aggregate technology can then be represented by a restricted profit function facilitating the derivation of net output supply elasticities. In this study the aggregate net outputs are exports, imports, labour and domestic sales supply. Capital is treated as a fixed input. Time-series of input-output data for Canada are used covering the period 1961 to 1980. In the first model estimated, four export and four import components are included by the use of aggregator functions and a two-stage estimation process. The recently developed Symmetric Generalised McFadden functional form which permits imposition of the correct curvature conditions while retaining flexibility is used at both the aggregator and GNP function levels. The aggregate export own-price supply elasticity was found to be 1.67 in 1970 while the aggregate import own-price demand elasticity was -1.62. Increases in the prices of both imports and labour were found to decrease the supply of exports while exports were found to be complementary to the output of domestic sales supply. The demand for labour was found to be more elastic than in earlier studies and a general trend towards increasing price responsiveness in the Canadian economy was observed. The own-price elasticities for the four export and four import components were stable and of reasonable magnitude. All the export and import components were found to be complementary. To remove the assumption of separability, modelling was extended to two larger disaggregated Generalised McFadden GNP function models containing four export (import) components, aggregate imports (exports), labour and domestic sales as net outputs. Using this procedure more substitution between the export and import components was found. A planning price model whereby the producers' notional price adjusts gradually to actual price changes indicated that imperfect adjustment is particularly important in the traded goods sector. Exports fully adjusted to price changes only over an extended period. Finally, an adjustment costs model was estimated which indicated that the main effect of allowing for imperfect adjustment was on input use. Differences between long-run and short-run export supply and import demand responsiveness were relatively small. Considerable substitutability between labour and capital in the long-run was observed and since labour was also variable in the short-run this produced overshooting of labour demand. An increase in export prices thus caused a large short-run increase in labour demand but in the long-run the capital stock was increased and substituted for much of the short-run labour increase.<br>Arts, Faculty of<br>Vancouver School of Economics<br>Graduate

Thesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 66-69).<br>This thesis documents new methods for gauging supply and demand of data center capacity and addresses issues surrounding potential threats to data center demand. This document is divided between a primer on the composition and engineering of a current data center, discussion of issues surrounding data center demand, Moore's Law and cloud computing, and then transitions to presentation of research on data center demand and supply.<br>by Laird Bennion.<br>S.M. in Real Estate Development

Thesis (MSc)--Stellenbosch University, 2013.<br>ENGLISH ABSTRACT: Supply-demand analysis (SDA) is a tool that allows for the control, regulation and behaviour of metabolic pathways to be understood. In this framework, reactions are grouped into reaction blocks that represent the supply and demand of a metabolic product. The elasticities of these supply and demand blocks can be used to determine the degree of control either block has over the flux in the pathway and the degree of homoeostasis of the metabolic product that links the blocks. Rate characteristic plots, on which the rates of supply and demand blocks are plotted as functions of the concentration of the linking metabolite, represent a powerful visual tool in this framework. Generalised supply-demand analysis (GSDA) allows for the analysis of metabolic models of arbitrary size and complexity without prior knowledge of the regulatory structure of the pathway. This is achieved by performing SDA on each variable metabolite in a pathway instead of choosing a single linking metabolite. GSDA also provides other benefits over SDA as it allows for potential sites of regulation and regulatory metabolites to be identified. Additionally it allows for the identification and quantification of the relative contribution of di erent routes of regulation from an intermediate to a reaction block. Moiety-conserved cycles present a challenge in performing in silico SDA or GSDA, as the total concentration of a moiety must remain constant, thereby limiting the range of possible concentrations of the metabolites between which it cycles. The first goal of this thesis was to develop methods to perform GSDA on two-membered and interlinked moiety-conserved cycles. We showed that by expressing the members of a moiety-conserved cycle as a ratio, rather than individual metabolite concentrations, we can freely vary the ratio without breaking moiety conservation in a GSDA. Furthermore, we showed that by linking the concentrations of the members of two interlinked two-membered moiety-conserved cycles to a “linking metabolite”, we could vary the concentration of this metabolite, within constraints, without breaking moiety conservation. The Python Simulator for Cellular Systems (PySCeS) is a software package developed within our group that provides a variety of tools for the analysis of cellular systems. The RateChar module for PySCeS was previously developed as a tool to perform GSDA on kinetic models of metabolic pathways by automatically generating rate characteristic plots for each variable metabolite in a pathway. The plots generated by RateChar, however, were at times unclear when the models analysed were too complex. Additionally, invalid results where steady-states could not be reached were not filtered out, and therefore appeared together with valid results on the rate characteristic plots generated by RateChar. We therefore set out to improve upon RateChar by building plotting interface that produces clear and error-free rate characteristics. The resulting RCFigure class allows users to interactively change the composition of a rate characteristic plot and it includes automatic error checking. It also provides clearer rate characteristics with e ective use of colour. Using these tools two case studies were undertaken. In the first, GSDA was used to investigate the regulation of aspartate-derived amino acid synthesis in Arabidopsis thaliana. A central result was that the direct interaction of aspartate-semialdehyde (ASA), a metabolite at a branch point in the pathway, with the enzyme that produces it only accounts for 7% of the total response in the flux of supply. Instead, 89% of the observed flux response was due to ASA interacting with of the downstream enzymes for which it is a substrate. This result was unexpected as the ASA producing enzyme had a high elasticity towards ASA. In a second case study moiety-conserved cycles in a model of the pyruvate branches in lactic acid bacteria were linearised using the above mentioned method. This served to illustrate how multiple reaction blocks are connected by these conserved moieties. By performing GSDA on this model, we demonstrated that the interactions of these conserved moieties with the various reaction blocks in the pathway, led to non-monotonic behaviour of the rate characteristics of the supply and demand for the moiety ratios. An example of this is that flux would increase in response to an increase in product for certain ranges. This thesis illustrates the power of GSDA as an entry point in studying metabolic pathways, as it can potentially reveal properties of the regulation and behaviour of metabolic pathways that were not previously known, even if these pathways were subjected to previous analysis and a kinetic model is available. In general it also demonstrates how e ective analysis tools and metabolic models are vital for the study of metabolism.<br>AFRIKAANSE OPSOMMING: Vraag-en-aanbod analise (VAA) is ’n analisemetode wat mens in staat stel om die beheer, regulering en gedrag van metaboliese paaie beter te verstaan. In hierdie raamwerk word reaksies gegroepeer as reaksieblokke wat die aanbod (produksiestappe) en die aanvraag (verbruik-stappe) van ’n metaboliese produk verteenwoordig. Vanaf die elastisiteite van hierdie aanbod- en aanvraag-blokke kan die graad van beheer van elkeen van die blokke oor die fluksie, asook die graad van homeostase van die metaboliese koppelingsintermediaat, bereken word. Snelheidskenmerk-grafieke, waarop die snelhede van die vraag- en aanbod-blokke as funksies van die konsentrasie van die koppelingsmetaboliet uiteengesit word, verteenwoordig ’n kragtige visuele hulpmiddel in hierdie raamwerk. Veralgemeende vraag-aanbod analise (VVAA), die veralgemeende vorm van VAA, maak dit moontlikommetaboliese modelle van arbitrêre grootte en kompleksiteit te analiseer sonder enige vooraf-kennis van die regulatoriese struktuur van die paaie. Die prosedure is om VAA op elk van die veranderlike metaboliete in die pad uit te voer, eerder as om ’n enkele koppelingsmetaboliet te kies. VVAA het ook ander voordele bo VAA aangesien dit potensiële setels van regulering en regulatoriese metaboliete kan identifiseer. Daarbenewens kan dit die relatiewe bydrae van verskillende regulerings-roetes van vanaf ’n intermediaat na ’n reaksieblok identifiseer en hulle kwantifiseer. Groep-gekonserveerde siklusse bied ’n uitdaging vir in silico VAA of VVAA, aangesien die totale konsentrasie van die gekonserveerde groep konstant moet bly. Dit beperk die waardes van moontlike konsentrasies van die metaboliete wat die siklus uitmaak. Die eerste doelstelling van hierdie tesis was dus om metodes te ontwikkel waarmee VVAA op tweeledige en saamgebonde groep-gekonserveerde siklusse uitgevoer kan word. Deur die lede van groep-gekonserveerde siklusse eerder as verhoudings uit te druk in plaas van as individuele metabolietkonsentrasies, het ons gewys dat ons hierdie verhouding vrylik kan varieer sonder om die groep-konservering te breek in ’n VVAA. Ons het ook gewys dat die konsentrasies van die lede van ’n saamgebonde groep-gekonserveerde siklus gekoppel kan word aan ’n “koppelingsmetaboliet”, waarvan die konsentrasie dan binne perke gevarieer kan word sonder om die groep-konservering te breek. Die “Python Simulator for Cellular Systems” (PySCeS) is ’n programmatuur-pakket wat binne ons navorsingsgroep ontwikkel is met die doel om sellulêre sisteme numeries te analiseer. Die RateChar module vir PySCeS was reeds voor die aanvang van hierdie projek ontwikkel om VVAAop kinetiese modelle van metaboliese paaie uit te voer deur outomaties snelheidskenmerke vir elke veranderlikke metaboliet te genereer. Die grafieke wat deur RateChar gegenereer is, was egter soms onduidelik wanneer die modelle te groot of kompleks geraak het. Daarbenewens is ongeldige resultate, waar ’n bestendige toestand nie bereik kon word nie, nie uitgefiltreer nie, en het dus saam met geldige resultate op die snelheidskenmerke verskyn. Een van die doelstellings was dus om RateChar te verbeter deur ’n koppelvlak vir grafieke te ontwikkel wat duidelike en foutlose snelheidskenmerke kon produseer. Dit het gelei tot die RCFigure klas wat outomatiese foutopsporing uitvoer en gebruikers in staat stel om op ’n interaktiewe wyse die samestelling van ’n snelheidskenmerkgrafiek te verander. Dit bied ook duideliker snelheidskenmerke deur e ektief van kleur gebruik te maak. Met hierdie ontwikkelde gereedskap is twee gevallestudies onderneem. In die eerste is VVAA gebruik om die regulering van aspartaat-afgeleide aminosuursintese in Arabidopsis thaliana te bestudeer. Die belangrikste resultaat was dat die direkte interaksie van aspartaat-semialdehied (ASA), ’n metaboliet by ’n vertakkingspunt in die pad, met die ensiem wat dit produseer, slegs vir 7% van die totale respons in die aanbod-fluksie verantwoordelik was. Daarteen was 89% van die waargenome fluksierespons die gevolg van die interaksie van ASA met drie van die stroomafensieme, waarvoor dit ’n substraat is. Hierdie resultaat was onverwag aangesien die ensiem wat ASA produseer ’n hoë elastisiteit teenoor ASA toon. In ’n tweede gevallestudie is die groep-gekonserveerde siklusse in ’n model van die pirovaat-takke in melksuurbakterie-metabolisme gelineariseer deur gebruik te maak van die bo beskrewe metode. Dit illustreer hoe verskeie reaksieblokke verbind word deur hierdie gekonserveerde groepe. M.b.v. ’n VVAA van hierdie model het ons gedemonstreer dat die interaksies van die gekonserveerde groepe met die verskeie reaksieblokke in die pad kan lei tot nie-monotoniese gedrag van die snelheidskenmerke van die vraag- en aanbod-reaksies vir die verhouding van die gekonserveerde groep-komponente. ’n Voorbeeld hiervan is die onverwagte waarneming dat die fluksie toeneem met toenemende produk-konsentrasie oor sekere gebiede. Hierdie tesis illustreer die krag van VVAA as ’n beginpunt vir die studie van metaboliese paaie, aangesien dit onbekende regulatoriese eienskappe en gedragspatrone kan ontbloot, selfs al is die paaie vantevore m.b.v. kinetiese modelle geanaliseer. Oor die algemeen demonstreer dit die noodsaaklikheid van e ektiewe analisegereedskap en metaboliese modelle vir die bestudering van metabolisme.<br>National Research Foundation

The implementation of nature conservation as a land use form is characterized by persistent conflicts and low acceptance by landowners and other users of the considered land area. The thesis applies an economic approach that is understood as the consideration of opportunities and problems of social interaction that aims at mutual benefits (Homann 2002: 63; Homann &amp; Suchanek 2005: 4). Nature conservation is treated as a normal economic good that is demanded and supplied. Human action and human choices regarding the good "nature conservation" can be explained and predicted when including the structure of the exchange and transfer of property rights for nature conservation. The property rights perspective on nature conservation demonstrates an unambiguous understanding of the rights individuals are willing to abandon for demanding and supplying nature conservation. The successful implementation of different aims and strategies of nature conservation requires different property rights. The loss of the right to choose other alternatives implies subjective costs (Knight 1924: 592f.; Buchanan 1981: 14) that cannot be reduced to pecuniary units and landowners. This approach broadens the understanding of the term "costs" related to nature conservation. Different organizational and institutional arrangements can be found in practical nature conservation. Both, the demand for and the supply of nature conservation is organized either individually or collectively. Property rights for the good “nature conservation” are either exchanged voluntarily or involuntarily by applying takings and eminent domain. The application of the methodological individualism, the homo economicus and microeconomic theory, allows to elaborate a simple model of individual demand and supply of one property right that is allocated to nature conservation. This model excludes transaction costs, considers only one normal economic good - “nature conservation”. The analysis demonstrates the outcomes, which can be expected when aggregating these individual demand and supply curves within two different organizations. A vertical aggregation represents the process of choice-making within politics in a direct democracy. A horizontal aggregation illustrates the determination of choices within a market. The analysis includes all possible institutional and organizational arrangements. The results reveal the quantity and quality of implemented nature conservation and the expected relation between available and required budgets. It is highlighted, how susceptible collective outcomes are to changing expenditure and revenue sharing systems and voting rules. When making collective choices, only one revenue and expenditure sharing system exists that allows a unanimously chosen quantity of nature conservation. These specific sharing systems are different when considering different collectives. Only voluntary exchanges ensure mutual benefits and a balanced budget. I can show that the institution of takings increases conflicts and reduce the acceptance for implementing nature conservation. A preference order of the considered institutional arrangements is revealed. The majority of the analyzed arrangements allows unambiguous expectations on the quantity and quality of the implemented nature conservation. The discussion justifies the chosen economic approach for examining problems of social interaction within nature conservation. Furthermore, the application of the elaborated model to representative democratic systems is discussed. The thesis closes with examples of the current and expected future development of practical nature conservation. These cases are discussed in the light of the elaborated model and the analysis' results. The present thesis offers an explanation of past and present processes and outcomes in nature conservation and a support for making expectations on the constellation of actors and their acceptance regarding future strategies in practical nature conservation<br>Die Umsetzung von Naturschutz als Landnutzungsform ist durch beständige Konflikte und niedrige Akzeptanz durch Landeigentümer und andere Landnutzer gekennzeichnet. Die Arbeit verwendet einen ökonomischen Ansatz. Sie betrachtet Möglichkeiten und Probleme sozialer Interaktion, die auf gegenseitigen Nutzen abzielt (Homann 2002: 63; Homann &amp; Suchanek 2005: 4). Naturschutz wird als normales ökonomisches Gut betrachtet. Dieses wird durch interagierende Individuen angeboten und nachgefragt. Das individuelle Handeln und Entscheiden in Bezug auf "Naturschutz" kann durch das Einbeziehen von Verfügungsrechten, welche bei dem Tausch ausgetauscht und übertragen werden, beschrieben und vorhergesagt werden. Die verfügungsrechtliche Betrachtung von Naturschutz ermöglicht ein eindeutiges Verständnis auf jene Rechte, auf die Individuen verzichten würden, um Naturschutz nachzufragen und anzubieten. Die erfolgreiche Umsetzung der unterschiedlichen Naturschutzziele und –strategien erfordert ein Eigentum an unterschiedlichen Verfügungsrechten. Der Verlust des Rechtes, eine Alternative zu wählen, verursacht subjektive Kosten (Knight 1924: 592f.; Buchanan 1981: 14), welche nicht auf Geldeinheiten und nicht auf Landeigentümer begrenzt werden können. Dieser Ansatz erweitert das Verständnis von Kosten in Bezug auf Naturschutz. Unterschiedliche organisatorische und institutionelle Arrangements sind im praktischen Naturschutz zu finden. Nachfrage und Angebot können jeweils individuell oder kollektiv organisiert sein. Verfügungsrechte für das Gut „Naturschutz“ werden entweder freiwillig oder erzwungen - durch Konfiskation und Enteignung getauscht. Die Anwendung des methodologischen Individualismus, des Konzeptes des Homo Economicus und mikroökonomischer Theorie, erlaubt die Entwicklung eines simplen Modells des individuellen Angebots und der individuellen Nachfrage nach Verfügungsrechten für Naturschutz. Dieses Modell schließt Transaktionskosten aus und betrachtet ausschließlich ein normales ökonomisches Gut – Naturschutz. Die Analyse zeigt die zu erwartenden Ergebnisse auf, wenn die individuelle Nachfrage und das individuelle Angebot durch zwei unterschiedliche Organisationen aggregiert werden. Eine vertikale Aggregation verdeutlicht eine politische Wahlhandlung innerhalb einer direkten Demokratie. Eine horizontale Aggregation repräsentiert die Wahl innerhalb eines Marktes. Die Analyse beinhaltet alle Kombinationen der unterschiedlichen institutionellen und organisatorischen Arrangements für die Bereitstellung des Gutes "Naturschutz". Die Ergebnisse dieser Analyse zeigen (1) die zu erwartende Quantität und Qualität des durchgeführten Naturschutzes und (2) das zu erwartende Verhältnis zwischen dem verfügbaren und dem notwendigen Budget auf. Zusätzlich wird die Empfindlichkeit kollektiver Entscheidungsergebnisse gegenüber sich verändernden Abstimmungsregeln und Teilungsregeln von Ausgaben und Einnahmen herausgearbeitet. Bei kollektiven Wahlhandlungen existiert nur jeweils eine Ausgaben- und Einnahmenteilung, die eine einstimmige Wahl einer Menge von Naturschutz ermöglicht. Diese Teilungsregel variiert zwischen unterschiedlichen Kollektiven. Ausschließlich ein freiwilliger Tausch sichert gegenseitige Vorteile und ein ausgeglichenes Budget. Weiterhin zeige ich auf, dass die Institution Konfiskation die Konflikte mit Landnutzern erhöht und deren Akzeptanz für die Umsetzung von Naturschutz reduziert. Eine Präferenzordnung für die verschiedenen Institutionen wird erarbeitet. Der Großteil der analysierten institutionellen und organisatorischen Arrangements erlaubt eindeutige Aussagen über die Quantität und Qualität des praktizierten Naturschutzes. Die Diskussion begründet die gewählte ökonomische Methode zur Untersuchung von Interaktionsproblemen des Naturschutzes. Weiterhin wird die Anwendbarkeit des erarbeiteten Modells für repräsentative Demokratien erörtert. Die Arbeit schließt mit Beispielen der aktuellen und künftig zu erwartenden praktischen Naturschutzarbeit. Diese Beispiele werden anhand des Modells und der Analyseergebnisse diskutiert. Die vorliegende Arbeit bietet ein Erklärungsmodell für vergangene und gegenwärtige Entwicklungen und Ergebnisse im praktischen Naturschutz. Sie stellt eine Unterstützung für die realistische Einschätzung von Akteurskonstellationen und deren Akzeptanz von zukünftigen Implementierungsansätzen von Naturschutz dar

The market mechanism is the mechanism of interrelation and interaction of the basic elements of the market – demand, supply, prices, competition, and the basic economic laws of the market. Supply and demand are interdependent elements of the mechanism. The former is determined by the solvent demand of consumers and offer a set of goods proposed by sellers. The ratio between them is formed in an inverse relationship, determining the corresponding changes in the level of prices for goods.

Thesis (Ph.D)--Industrial and Systems Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Keskinocak, Pinar; Committee Co-Chair: Vande Vate, John; Committee Member: Ferguson, Mark; Committee Member: Griffin, Paul; Committee Member: Swann, Julie. Part of the SMARTech Electronic Thesis and Dissertation Collection.

Thesis (Ph. D.) -- University of Maryland, College Park, 2006.<br>Thesis research directed by: Business and Management. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

This thesis explores Centralised Demand Information Sharing (CDIS) in supply chains. CDIS is an information sharing approach where supply chain members forecast based on the downstream member’s demand. The Bullwhip Effect is a demand variance amplification phenomenon: as the demand moves upstream in supply chains, its variability increases. Many papers in the literature show that, if supply chain members forecast using the less variable downstream member’s demand, this amplification can be reduced leading to a reduction in inventory cost. These papers, using strict model assumptions, discuss three demand information sharing approaches: No Information Sharing (NIS), Downstream Demand Inference (DDI) and Demand Information Sharing (DIS). The mathematical analysis in this stream of research is restricted to the Minimum Mean Squared Error (MMSE) forecasting method. A major motivation for this PhD research is to improve the above approaches, and assess those using less restrictive supply chain assumptions. In this research, apart from using the MMSE forecasting method, we also utilise two non-optimal forecasting methods, Simple Moving Averages (SMA) and Single Exponential Smoothing (SES). The reason for their inclusion is the empirical evidence of their high usage, familiarity and satisfaction in practice. We first fill some gaps in the literature by extending results on upstream demand translation for ARMA (p, q) processes to SMA and SES. Then, by using less restrictive assumptions, we show that the DDI approach is not feasible, while the NIS and DIS approaches can be improved. The two new improved approaches are No Information Sharing – Estimation (NIS-Est) and Centralised Demand Information Sharing (CDIS). It is argued in this thesis that if the supply chain strategy is not to share demand information, NIS-Est results in less inventory cost than NIS for an Order Up To policy. On the other hand, if the strategy is to share demand information, the CDIS approach may be used, resulting in lower inventory cost than DIS. These new approaches are then compared to the traditional approaches on theoretically generated data. NIS-Est improves on NIS, while CDIS improves on the DIS approach in terms of the bullwhip ratio, forecast error (as measured by Mean Squared Error), inventory holding and inventory cost. The results of simulation show that the performance of CDIS is the best among all four approaches in terms of these performance metrics. Finally, the empirical validity of the new approaches is assessed on weekly sales data of a European superstore. Empirical findings and theoretical results are consistent regarding the performance of CDIS. Thus, this research concludes that the inventory cost of an upstream member is reduced when their forecasts are based on a Centralised Demand Information Sharing (CDIS) approach.

Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2008.<br>"June 2008."<br>Includes bibliographical references (leaves 68-71).<br>Sales and operational planning that incorporates unconstrained demand forecasts has been expected to improve long term corporate profitability. Companies are considering such unconstrained demand forecasts in their decisions on investment in supply chain resources. However, demand forecasts are often associated with uncertainty. This research applies Monte Carlo simulation, value at risk and gain curve analysis, and real option analysis to investigate how the uncertainty of demands affects supply chain planning in order to make better supply chain investment decisions. This analytical framework was used to analyze the ocean shipping plans and inland trucking arrangements for Chiquita. Demands for Product A and front haul over a six-year period were simulated based upon forecasted distributions. The net income, revenue and costs as affected by ocean shipping plans were obtained by inputting the simulated demands to ocean shipping models. The major decision for Chiquita is whether to charter one large ship or two ships which provide approximately equivalent capacity. A large ship would save fuel costs. The plans for two smaller ships have the flexibility of using one ship only if future demand or price reactions warrant it. Using the analytical framework, a plan for two smaller ships is superior to that for one large ship because of significant real option value, particularly in the event of increases in fuel costs in the future. Chiquita's current inland trucking model, a mixed arrangement with a dedicated fleet and common carriers, seems to offer a good solution for the future needs. A model provided in this research offers a simple method to optimize the size of the dedicated fleet.<br>by Yanfeng Anna Huang.<br>M.Eng.in Logistics

The well-known "law of supply and demand" says that an increase in the price of a commodity leads to a decrease in the aggregate demand for this commodity and an increase in aggregate supply. There is, however, no theoretical foundation for this "law". Empirical evidence, on the other hand, should be interpreted with care. If one estimates the parameters of certain functional forms for demand and supply functions, then the results may simply be consequences of the parametric assumptions made in estimation. The first chapter of the thesis discusses the implications of the assumption of profit and utility maximisation for the properties of demand and supply functions. It explains why economic rationality on the microlevel does not, in general, lead to macroeconomic regularities and suggests replacing the consumption sector of the neoclassical equilibrium model by a large population of individually small consumers. Such a population will be explored in the second chapter. The chapter is a direct outgrowth of a basic contribution by W. Hildenbrand: "On the Law of Demand", Econometrica 1983. In W. Hildenbrand's model the market demand function is defined by integrating an individual demand function with respect to an exogenously given income distribution. We build into the model an individual labour supply function and then compare the matrix of aggregate income effects studied by W. Hildenbrand with that obtained by integrating the individual demand function with respect to a distribution of wage rates. The empirical part of the thesis analyses the labour supply and earnings data in the U.K. Family Expenditure Survey 1970-85. Using non- parametric smoothing methods, the elasticity of labour supply with respect to the wage rate is estimated for several groups of workers. The estimations for full-time workers confirm the famous "downward sloping" labour supply function. The estimated elasticities for the entire population of workers for the years 1970-85 have the mean value 0.2 and the standard deviation 0.02.

Labour market is a system of economic instruments, norms and institutions that establish the link between firms and is influenced by supply and demand price of labor. The most important element of the labor market is the demand for labor, which is determined by the number and structure of employment, volume of means of subsistence, are used to attract the workforce. Labor supply is the need of different groups of the working age population in receipt of employment. Labor demand reflects the need for a certain amount of economy workers on any given time.

<p> There have been widespread reports of an impending teacher shortage crisis in the U.S. for more than 30 years. In the U.S., there are claims of a widespread national shortage while research indicates teacher shortages are specific to certain subjects and schools. Part of the reason for the conflicting accounts is how shortage is identified and what information is used to assess it. In this study, I test whether a uniform teacher shortage exists across the state of Arkansas. I hypothesize that, rather than a universal shortage, teacher shortages are more likely to occur in certain regions and subjects. I examine the characteristics of districts with the most favorable teaching supply and those with the greatest teaching need using descriptive and multivariate analysis of data collected from district surveys along with administrative data. In this study, &ldquo;supply&rdquo; is defined as the ratio of applications to vacancies and &ldquo;need&rdquo; is defined as the ratio of vacancies to full-time equivalent (FTE) certified classroom teachers. This is the third study to use applicants to identify teacher supply, and the first to assess teacher need or shortages in this way. Results indicate teacher supply and need are unequally distributed across the state; there is no uniform teacher shortage statewide. Regarding teacher supply, I find district size, region, and urbanicity appear to drive supply. Teacher supply is most favorable for large districts with student enrollments greater than 3,500, districts in the Northwest, and suburban and city districts. Regarding teacher need, I find urbanicity and region contribute most to need and the need appears greatest for districts in cities, and districts in the Central and Southeast regions. Teacher need does not appear to be significantly influenced by district educational success, teacher salary, or district growth. Looking at the relationship between teacher supply and need, I find three clear relationships. In the Central and Southeast regions, there is lower teacher supply and greater teacher need. In urban districts, there is both greater teacher supply and need. In higher poverty districts, there is significantly less teacher supply and more teacher need.</p><p>

A presente dissertação tem como principal objetivo a conceituação e apresentação das metodologias básicas de previsão de demanda e, a partir de um estudo de caso, a seleção da metodologia mais adequada e sua respectiva implantação. No primeiro capítulo é apresentada, além da importância do referido tema, a empresa selecionada para aplicação dos conceitos levantados, com a descrição de seus principais processos internos. No segundo capítulo foram abordados os conceitos de previsão de demanda e uma revisão dos principais modelos existentes. No capítulo seguinte, o problema que deverá ser tratado com a metodologia proposta é apresentado. Neste momento a metodologia conceituada é aplicada, através da seleção do método de previsão mais adequado ao caso estudado e respectiva modelagem, buscando melhorias em relação aos métodos de previsão existentes na empresa. Neste processo de modelagem utilizou-se o software Forecast Pro, um dos mais conceituados aplicativos de previsão de demanda no mercado. Por fim, na conclusão, avalia-se o impacto das mudanças propostas nos resultados da empresa, principalmente o aumento da precisão da previsão da demanda e, conseqüentemente, redução dos custos de importação e dos índices de stockout.<br>The main objective of this dissertation is the presentation of basic forecasting methods and their implementation in a case study in supply chain. The first chapter points out the importance of forecasting in this context and describes the company selected for the case study and some of its internal processes that will be under scrutiny in the case study presented in this dissertation. The second chapter discusses the concepts and models of forecasting and reviews some of the major techniques in the field. In chapter three, standard forecasting techniques are apllied to real data (ten time series) from the company and select the most appropriate model in each case. Model adjustment is performed through the Forecast Pro software, one of the best-known products in the market. Chapter four contains the conclusions and the evaluation of the impacts of the proposed methodology on the company s results, especially the increased accuracy of forecasting and, consequently, the reduction in the import costs and stock out index.

Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 2003.<br>Includes bibliographical references.<br>Essay One The Impact of Shortages on Push-Pull Production Systems This paper explores the impact of endogenous customer demand on supply chain instability. It investigates how a semiconductor manufacturer's hybrid push-pull production system responds to customer demand, when inventory availability influences demand. While customers' response to variable service level represents an important concern in industry with sizable impacts on company profitability, previous models exploring supply chain instability do not address it. This research incorporates customer response in two important ways. First, a negative feedback loop of lost sales captures the effect that an initial increase (decrease) in demand leads to a decrease (increase) in the manufacturer's service level, causing customer demand to decrease (increase). Second, a positive feedback loop of production push characterizes the manufacturer increase (decrease) in capacity utilization to respond to a surge (drop) in demand, leading to high (low) production volumes and service levels, and a further increase (decrease) in demand. The manufacturer's hybrid push-pull production system is very effective in meeting customer demand. Stockouts at different stages in the supply chain, however, can shift the operation mode of the system to a defacto push system. The shift to a push system decreases the manufacturers' service level and increases demand variability. The analysis suggests that the endogenous customer demand assumption influences the shifts in modes of operation through the lost sales and production push loops, leading to higher supply chain instability than when customer demand is modeled as exogenous.<br>(cont.) In addition, incorporating the endogenous demand assumption leads to a different inventory and utilization policies than the ones currently adopted. First, this research finds that supply chains can operate in multiple modes, due to demand instability. It also provides policies capable of mitigating the impact from shifts in operation modes. Second, it suggests that models investigating instability in supply chains assuming exogenous demand may underestimate the amplification in demand and the value of inventory buffers. The model analyzed in this paper gives insights into the costs of lean inventory strategies in the context of hybrid production systems. Essay Two Why do Shortages Inflate to Huge Bubbles? When demand exceeds supply, customers often hedge against shortages by placing multiple orders with multiple suppliers. The resulting demand bubble creates instability leading to excess capacity, excess inventory, low capacity utilization, and financial and reputation losses for suppliers and customers. This paper contributes to the understanding of demand bubbles caused by shortages by providing a comprehensive causal map of supplier-customer relationships and a formal mathematical model of a subset of those relationships. It provides closed form solutions for supply chain dynamics when supplier capacity is fixed and simulation analysis when it is flexible. Sensitivity analysis provides a deeper understanding of structures and decision rules that contribute to bubbles and suggests policies for improvement. For instance, the ability to quickly build capacity can reduce bubble size ...<br>by Paulo M. Gonçalves.<br>Ph.D.

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Global Operations Program at MIT, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 80).<br>This paper attempts to provide a solution to a problem facing many multinational firms: the lack of an accessible and comprehensive database for up-to-date component part forecasts. We consider this problem in the context of ABB BU DMPE. After considering various requirements and constraints regarding the consolidation of forecasting information, we propose a novel combination of standardized process and the use of certain IT tools as a first step. After a test run, we discovered that consolidation of forecasting information increases transparency within the supply chain. As a corollary result of our pilot program, we propose that prior to any attempt at consolidation, enforcement of a standardized form and method of forecasting at the local level.<br>by Esther Lee.<br>M.B.A.<br>S.M.

A well-known concept, both in practice and in literature is the logistics market. This market is a place where shippers’ demand for logistics services meets Logistics Service Providers’ (LSPs’) supply of such services. Although this market has been given much attention in previous research, focus has been on shippers, while the LSP perspective has to a large extent been neglected. Several logistics related trends indicate that there is an increasing need for strong relationships between LSPs and supply chains, and one such trend is the “greening” of companies and supply chains. Although it is widely recognised that transports and  logistics are a major cause of greenhouse gas emissions, environmental logistics literature has only focused on the interaction between LSPs and their customers to a very limited extent. This is despite the fact that LSPs could include so-called green categories in their offerings, just as shippers could include green categories in their demands and that this interaction could in turn contribute to a decrease of greenhouse gas emissions. The purpose of this thesis is to describe the extent to which green categories are taken into account in the logistics market and suggest explanations. This includes identifying those green categories that are relevant for the logistics market, as well as a description of matches and mismatches with regard to these green categories. The matches and mismatches are studied from both a general market perspective and a relationship perspective. Initial explanations for the matches and mismatches in the relationship perspective contribute to the final part of the purpose. There are two basic theoretical starting-points in this thesis. Firstly, it is recognised that the logistics market is important to the purpose and different ways to view this market are therefore discussed. Secondly, general environmental logistics literature provides a basis for the research into green categories that can be offered or demanded on the logistics market. In the exploratoryresearch conducted for the thesis, the insights from literature are combined with empirical datafrom a survey, a homepage scan and four case studies of buyer-supplier relationships. One main contribution of this thesis is the large number of green categories that are identified as relevant for LSPs and shippers on the logistics market. These green categories range from environmental management systems, vehicle technologies and CO2 reports, to reviews of sustainability reports, relationship specific green projects and general desires among shippers to decrease CO2 emissions. A comparison of the supply of and demand for the green categories indicates that from a general market perspective, there appear to be clear mismatches between green supply and green demand. The same comparison made from a relationship perspective also indicates severalmismatches between green supply and green demand, but the buyer-supplier relationships studied show matches between green offerings and green demands to a greater extent than the market perspective does. Interestingly, the LSPs seem to include more in their offerings than the shippers appear to include in their demands for almost all mismatches in both the market perspective and the relationship perspective. Seven propositions are made to account for the matches and mismatches between green categories in buyer-supplier relationships. Three of these propositions are related to the characteristics of those green categories that are found in the relationships. It is suggested that the tangibility level of green categories influences the occurrence of matches and mismatches in the relationships and the more tangible a green category is, the higher is the likelihood of a match between supply and demand in that relationship. The opposite is also suggested, as well as the idea that the more relationship specific green categories are, the fewer the mismatches that appear in that relationship. The remaining four propositions relate to the potential connection between the type of relationship between LSPs and shippers and green matches and mismatches in their relationships. It is suggested that the closer a business relationship is, 1) the greater the number of green categories it has 2) the better green categories are communicated 3) the greater the number of matches compared to mismatches of green categories and 4) the higher the level of green category collaboration is.

China has experienced incredible growth in the number of nongovernmental organizations (NGO) that occupy civil society. These organizations came forth at a time of rapid economic and political change. Instead of being given a supportive legal path for their work, NGOs have had to navigate the supply and demand factors in their specific situation in order to flourish. The demand side factors chiefly consist of matters pertaining to the need an NGO is meeting; and supply side factors pertain to an NGO's ability to create infrastructure to support their organization, including both the space in society to function and the processes necessary to fund their operation. By understanding the supply and demand side factors of the third sector, NGOs are able to achieve effectiveness in a variety of different capacities. In the current regulatory framework, many of these capacities are not entirely legal, but NGOs continue to find ways to make these arrangements work. Intermediary NGOs are a special type of NGO that positions itself to benefit both the donor and the beneficiary and help both overcome some of the challenges presented by the difficult regulatory environment. In doing this, intermediary NGOs fulfill a special role in meeting supply and demand in the third sector and can propose many useful solutions for philanthropy in China today.

Thesis: M. Eng. in Supply Chain Management, Massachusetts Institute of Technology, Supply Chain Management Program, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 52-53).<br>While festivals bring a reason to cheer for everyone, businesses dealing with a spike in demand for perishables may have to live with the misery of lost sales and/or expired items. In the case of the dairy industry that deals with liquid milk, both raw material, and finished goods are perishable, which implies that merely stockpiling inventory of either item, without paying attention to potential inventory losses, cannot be an optimal strategy. In developing countries, the supplier base for perishables like milk, fruits, vegetables, flowers, etc. mostly comprise of small farmers instead of corporate/professional agencies, thus leading to supply variability. During special occasions like festivals, as individuals set aside more of the raw material for their own consumption, we encounter a reduction in supply. Around the same time, we notice a spike in customer demand, leading to a demand-supply mismatch. Companies dealing with perishables need an analytical approach to manage this.<br>In this thesis, we present a framework to address this problem of intermittent demand-supply mismatch using a 3-stage stochastic optimization model. We decide on the sourcing targets, the production plans based on supply realized, and finally, the dispatch plan based on orders received. As a case study, we analyze the operations and data from a private dairy company in eastern India, to understand the research problem and the applicability of the resulting model. We notice the impact of demand spikes and supply reduction in two areas: we increase supply targets in the periods preceding the demand spike; and we increase supply targets in periods when supply is expected to decrease, while demand is as usual. When there are multiple festival days within the time series, the compounding of impact depends on the sequencing of the events.<br>Finally, when we introduce the realistic constraint that the supply target needs to be constant throughout the time series, we see a degradation in the profitability, as we need to tradeoff between lost sales and wasted products. While the focus of this case study is the dairy industry, the conclusions from this research are broadly applicable to other industries dealing with perishables.<br>by Vishwanathan Parameshwaran lyer Nurani.<br>M. Eng. in Supply Chain Management<br>M.Eng.inSupplyChainManagement Massachusetts Institute of Technology, Supply Chain Management Program

Thesis: M. Eng. in Supply Chain Management, Massachusetts Institute of Technology, Supply Chain Management Program, May, 2020<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 66-70).<br>The second machine age is reshaping the way we work, do business, and collaborate. Today collaboration is switching from just among humans to between humans and machines. Mundane and repetitive tasks will be done by machines automatically, while humans can develop insights and make wise decisions supported by data streaming from intelligent machines. If and how different human-machine teaming decision-making structures would influence the organization's performance is important to understand, so that human-machine teaming capabilities could contribute the most to business outcomes. By using the augmented inverse propensity weight estimator method, this research empirically analyzes the average treatment effects of three different human-machine decision-making structures: Full human to AI delegation, Hybrid AI-Human with adequate human intervention, and Hybrid AI-Human with all steps of demand planning overrides.<br>These three decision-making structures are defined as treatment groups, and the traditional manual demand-adjustment process is defined as the control group. Effects of switching human-machine teaming decisionmaking structures from one to another are also analyzed. The performance of each treatment and control group is measured by the long-term forecast accuracy, short-term forecast accuracy, and customer inventory level. The project is based on an IT collaboration project between a large fast-moving consumer goods company and one of its largest e-commerce customers. The project implemented an AI-enabled demand-adjustment process to incorporate the external e-commerce customer demand signals into existing demand-planning process. Demand planners engage in the demand-adjustment process via web-based interfaces, to apply human judgment-based decisions. All the stock keeping units are randomly assigned to treatment and control groups.<br>The results show that after the implementation of human-machine teaming decision-making structures, both demand-forecast accuracy and inventory level are strongly improved by at least 47%. Overall, the Hybrid AI-Human with adequate human intervention model is the optimal decision-making structures between human and machine, which improves the short-term forecast accuracy by 53%, long-term forecast accuracy by 64%, and inventory level by 70%. The Hybrid AI-Human with all steps of demand planning overrides model performed worse than the previous model, because of the heavy human overrides. Additionally, those AI enabled decisionmaking structures works better for low-turnover products than high-turnover ones.<br>by Ye Ma.<br>M. Eng. in Supply Chain Management<br>M.Eng.inSupplyChainManagement Massachusetts Institute of Technology, Supply Chain Management Program

Enligt Carlsson och Rönnqvist (2005) och Frayret et al. (2007) blir det allt viktigare att arbeta med supply chain management inom trävaruindustrin. En utmaning är att finna ett arbetssätt för att hantera variationen i kundens efterfrågan. Idag hanteras variationen oftast genom onödigt stor lagerhållning (Lee et al., 1997b; So och Zheng, 2003).                                                                                 Syftet med studien är att utreda påverkande faktorer som bidrar till en varierande efterfrågan inom trävaruindustrin samt föreslå hur uppkomsten av dessa kan undvikas. För att svara på syftet har tre frågeställningar tagits fram och en fallstudie genomfördes på ett hyvleri. Informationsinsamlingen har skett genom intervjuer av anställda från olika avdelningar samt litteraturstudier. Studien visar att det finns flera utmaningar när det är stor variation på efterfrågan såsom brist på tillgång till prognoser och kommunikationsbrist med kunder. Det medför att planeringen av råvaruåtgången försvåras och det leder till svårigheter att uppnå leveransprecision.   Slutsatsen visar att de påverkande faktorer som bidrar till en varierad efterfrågan är prisvariationer, orderstorlek och orderfrekvens. Prisvariationer kan undvikas genom ABC-indelning av produkterna utifrån produktefterfrågan. Prognoser underlättar uppskattning av efterfrågan men för ett fungerande prognosarbete krävs samsyn, nära relation samt god kommunikation mellan kund och leverantör. Problem med orderstorlek och orderfrekvens kan reduceras om kunden får avgöra orderstorleken utan att specifika krav måste uppfyllas. Slutsatsen visar även att faktorer såsom väderlek, trender, mode, helgdagar och rotavdragets eventuella försvinnande påverkar variationen i efterfrågan.<br>According to Carlsson &amp; Rönnqvist (2005) and Frayret et al. (2007) supply chain management in the wood products industry is getting more important. One of the challenges is to find a way to deal with customer’s fluctuating demand. Traditional solution to handle fluctuating demand is large inventory (Lee et al., 1997b; So &amp; Zheng, 2003), which causes often high inventory cost for effective supply chain management.   The aim of the study is to investigate factors that affect a fluctuating demand in the wood products industry and suggest how to reduce the fluctuating demand through related factors analysis in order to improve Demand-Supply chain management efficiency. For this pursose, a case study on a planing is conducted. To collect data, interviews with employees from different departments have been made along with literature studies. The study presents that there are many challenges for the fluctuation demand such as lack of forecasts and lack of communication with customers. This, in turn, will cause problems with planning of the raw material as well as difficulties to deliver the goods on time.   The conclusion shows that the factors affecting a fluctuating demand are price variations, the orders batch size and order frequency. Price variations can be improved by ABC classification of the products by product demand. Forecasts will make the estimation of demand easier, although, in order to use forecasts properly a joint vision, close relationships and good communication with customer and supplier is required. Problems regarding batch size and order frequency can be reduced if the customer is allowed to decide the batch size with no specific requirements. The study also shows that factors such as weather, trends, fashion, holidays and disappearance of ROT work affects the fluctuating demand.

We analyze issues arising from demand management in decentralized decision-making environments. We consider logistics systems and supply chains, where companies' operations are handled with independent entities whose decisions affect the performance of the overall system. In the first study, we focus on a logistics system in the sea cargo industry, where demand is booked by independent sales agents, and the agents' capacity limits and sales incentives are determined by a central headquarters. We develop models for the central headquarters to analyze and optimize capacity allocation and sales incentives to improve the performance of the decentralized system. We use network flow problems to incorporate agent behavior in our models, and we link these individual problems through an overall optimization problem that determines the capacity limits. We prove a worst-case bound on the decentralized system performance and show that the choice of sales incentive impacts the performance. In the second study, we focus on supply chains in the automotive industry, where decentralization occurs as a result of the non-direct sales channels of the auto manufacturers. Auto manufacturers can affect their demand through sales promotions. We use a game theoretical model to examine the impact of retailer incentive and customer rebate promotions on the manufacturer's pricing and the retailer's ordering/sales decisions. We consider several models with different demand characteristics and information asymmetry between the manufacturer and a price discriminating retailer. We characterize the subgame-perfect Nash equilibrium decisions and determine which promotion would benefit the manufacturer under which market conditions. We find that the retailer incentives are preferred when demand is known. On the other hand, when demand is highly uncertain the manufacturer is better off with customer rebates. We extend this research by analyzing a competitive setting with two manufacturers and two retailers, where the manufacturers' promotions vary between retailer incentives and customer rebates. We find an equilibrium outcome where customer rebates reduce the competitor's profits to zero. We observe in numerical examples that the manufacturers are able to increase their sales and profits with retailer incentives, although this can be at the expense of the retailers' profits under some situations.

Indigenous tourism is an expansive sector in the growing tourism industry. The Sami people living in Sápmi in northern Europe have started to engage in tourism, particularly in view of the rationalised and modernised methods of reindeer herding. Sami tourism offers job opportunities and enables the spreading of information. On the other hand, Sami tourism may jeopardise the indigenous culture and harm the sensitive environment in which the Sami live. The aim of this thesis is to analyse the supply and demand of Sami tourism in northern Sweden. This is presented in four articles. The first article analyses the potential of the emerging Sami tourism in Sweden, with special emphasis on the access to Sami tourism products. The study shows that there is a growing supply of tourism activities related to the Swedish Sami. The development of tourism is, however, restricted by factors such as the peripheral location and the lack of traditions of entrepreneurship. The second article analyse which factors influence tourists when they make their decisions about Sami tourism. In the article the respondents are requested to answer a number of hypothetical questions, ranking their preferences regarding supply, price and access. The study indicates that tourism related to the Sami and Sami culture has a considerable future potential, but also that there is a gap between supply and demand. In the third article the analysis shows that the festival in Jokkmokk, thanks to continuously added attractions, has been able to retain a rather high level of popularity, despite its peripheral location. Finally, the fourth article analyses to what extent the winter festival in Jokkmokk is a genuinely indigenous event, and to what extent it is staged. It is argued that the indigenous culture presented at the festival and in media is highly staged, although backstage experiences are available for the Sami and for the tourists who show a special interest.

The threat of climate change has led to many countries and regions adopting renewable targets. Scotland's is one of the most ambitious, with an aim to generate the equivalent to 100% of its electricity needs from renewable sources by 2020. Scotland has a very large renewable resource, primarily consisting of offshore and onshore wind, tidal stream, wave and hydro power; all of which are characterised by having variable output. Over a long period, such as a year, variability in renewable generation will average out and may meet or exceed total annual demand. This thesis investigates whether matching of demand and generation is possible within a timescale meaningful to electricity system users; that is whether renewable generation can meet electricity demand in any given hour. This was established by using historic data to create an hourly generation hindcast of Scotland's renewable generation over a 30 year climate “normal” period. These outputs are then compared to a hindcast of hourly demand based on observations over the most recent few years. The results demonstrated that it is possible for Scotland to rely entirely upon renewable generation to fulfil demand in any hour of the 30 year hindcast. However, it appears that the renewable capacity and storage currently built or within the Scottish planning system is only sufficient to match demand in 65% of the hours within the hindcast. The hindcast allows judgements to be made as to how 100% of demand could be met most effectively and provides the basis of a coherent planning strategy, with security of supply at its centre. Further wave and tidal stream capacity is shown to be of higher value than additional wind power but in the latter case, addressing the geographical diversity of wind power can enable maximise phasing between sites to increase the security of supply. Importantly this work provides a means of informing decision making about where best to develop wind, wave and tidal resources and what additional storage may be required in order to provide 100% security of supply. The results are also of particular importance to Scotland's renewable generation strategy in the case of assessing where new on- and off-shore wind farms should be developed, as wind is set to dominate Scotland's renewable portfolio for the foreseeable future.

MBA Professional Report<br>In light of the Navy's transformation plan, advanced business education is increasing in importance. As part of the Navy's Sea Power 21 strategy, Sea Enterprise encourages Naval Aviation to steer historical management practices towards better business practices. As pilots and Naval Flight Officers evolve from Mission Commander to Commanding Officer, they must be equipped with requisite business skill sets to engage the challenge of balancing aircraft modernization with current readiness. This project analyzes the supply and demand for postgraduate business education to determine how prepared Naval Aviation is to achieve long-term transformation objectives. The results show that 25 percent of all aviation officers (O-1 to O- 6) have a graduate business degree; 17 percent of Commanding Officers with advanced degrees have a business specialization; and 2.5 percent of aviation officer billets require a postgraduate business degree. Recommendations to better prepare the aviation community for the Sea Enterprise environment include: (1) Early emphasis of graduate business education, (2) Promote advanced business education as a major career milestone, (3) Tie first shore tour assignments to graduate business education, and (4) Increase the overall billet requirement for advanced business degrees. These improvements may greatly enhance the Navy's efforts towards achieving its transformation goals.

The core of this thesis comprises three previous published reports ‐ Profiling the Profession: a survey of archaeological jobs in the UK (Aitchison 1999), Archaeology Labour Market Intelligence: Profiling the Profession 200203 (Aitchison & Edwards 2003) and Archaeology Labour Market Intelligence: Profiling the Profession 200708 (Aitchison & Edwards 2008). These volumes are the only comprehensive reviews of the labour market within the archaeological sector in the UK, examining who works in all sectors of archaeology, what qualifications they hold, how they are rewarded and how they are trained. These three surveys have established a corpus of time-series datasets which demonstrate how archaeological practice and employment have evolved in the UK over the decade to 2008 and the onset of the global economic crisis in that year. The thesis contextualises these data‐rich reports with a historical and analytical account of how employment in archaeology grew from the late nineteenth century until 1990, and then examines the drivers of demand for services that lead to archaeological employment in the United Kingdom over the 20 years from 1990‐2010, and how this demand was met. Until 1990, archaeology was primarily a state‐provided or state‐sponsored activity. The sector's funding base transformed in the 1990s to become primarily reliant on private sector monies and the effects upon employment within the sector have been of the sectoral reaction to adopt an enterprise‐focussed model for delivery have been considerable. The number of people employed in archaeology grew very rapidly over this period (by approximately 4.5% per annum), with the expansion of applied, commercial archaeology representing the majority of this growth. These individuals are very highly academically qualified, but not very well rewarded financially. In order to fully explore the central issues, historical patterns and precedents are examined, focussing on particular strands of activity in detail, using case studies of organisations and particular archaeological projects.

This thesis reviews the shifts in education policy under the Conservative-Liberal Democrat government between 2010 and 2015; analysing selected policies to articulate dominant themes in recent policy-making. It illustrates how the Coalition was heavily influenced by neoliberal ideas. These dominant themes emphasise the role of the free market, the individual as consumer and the state as a regulator as opposed to provider. The focus is on how ideas of demand-side and supply-side are promoted through an analysis of chosen policies. The opening chapters give the historical and political backdrop of Coalition education policy since 1988, while subsequent chapters explore the field of policy-making in education under the recent Coalition. Using Stephen Ball’s Policy Cycle and Sandra Taylor’s framework for policy as an analytical tools, the implications of new academies and free schools are examined, alongside the impact of pupil premium. It draws on two case studies: the ARK academy chain and the New Schools Network. Three documents were analysed: House of Commons Education Committee Academies and free schools: Government Response to the Committee's Fourth Report of Session 2014–15 21 January 2015; Unleashing greatness: getting the best form an academised system (Academies Commission, January, 2013); Chain Effects, 2015 The impact of academy chains on low-income students (Sutton Trust, 2015). Data from the documents was categorised in a thematic way and allocated to three major themes namely: marketization, managerialism and standards. The second part of the thesis examines these policies in the context of practice and the context of policy outcomes. The findings showed clear indications of deficiencies and weaknesses in the current policies and practices around the role of academy chains and free schools. These changes have resulted in major shifts in the structure of schools in England but without achieving distinctive outcomes compared with mainstream schools. From there, it moves to look at how professionals can make a conscious choice to replace the language of neoliberalism with the language of local interchange. Finally, a number of recommendations are made linked to supply-side and demand-side reform. These include: increasing the focus on the most disadvantaged pupils; the inspection of academy chains; judging schools on a broader range of outcome measures; and, further research to see if the aspirations of communities and individuals is realised through these school-based markets. Hopefully, this study provides a valuable review of the processes and times when significant transformations in education policy were being initiated.

Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2008.<br>Includes bibliographical references (p. 79-80).<br>This thesis describes the design and implementation of an optimization model to manage inventory at Dell's American factories. Specifically, the model is a mixed integer program which makes routing decisions on incoming monitors (a bulky item which incurs great shipping costs) from Asia to Dell's factories in America as well as inventory transfer decisions from factory to factory. The optimization model approaches the inventory allocation problem by minimizing inventory routing costs plus shortage costs across all sites subject to constraints which define the specifics of Dell's supply chain. Shortage costs are assessed using a per part per day back order penalty, however a more precise assessment of shortage costs using actual costs from a combined MIT/Dell study is also presented. The software implementation of the optimization model has been field tested and validated and is now being adopted on a global level for use in balancing supply to all of Dell's factories worldwide. The software design as well as the implementation results are discussed within this thesis. Also, an adaptation of the model to a global scale is presented. This extension of the model, which assumes a "global warehouse" upstream in the supply chain, allocates inventory from the China to regional facilities throughout the world subject to supply chain constraints and the understanding that regional teams will tend to balance out their own region's inventory using intraregional balancing decisions.<br>by John William Foreman.<br>S.M.

The ongoing ascent in electric vehicle (EV) selection is commonly observed as certain, as EVs conceivably give a more clean option in contrast to conventional vehicles. However for EVs to understand this potential, singular purchasers don't just need to embrace EVs, they likewise need to utilize the advancements and foundation in a feasible manner EVs are a spotless method of transport when accused of energy from sustainable sources, for example, wind energy and photovoltaic (PV) sun oriented energy. As of now, EVs are commonly charged in the early night, when power interest of families is high and inexhaustible energy creation is low .EV clients should along these lines be urged to act in a more economical manner, by effectively or latently shifting charging request or to participate in brilliant charging or vehicle-to-framework plans worked by gatherings, for example, aggregators.

This thesis examines many different aspects of demand, supply and adjustment in the Australian labour market. First, the aggregate labour market is considered. A general method of modelling the adjustment of real wages and employment which allows the underlying demand and supply schedules to be identified is developed. This is then applied to Australian data in order to obtain estimates of the relevant demand and supply elasticities and the adjustment parameters. The model is also applied to a particularly important policy issue -namely the impacts of the Accord on wages and employment. With respect to aggregate demand for labour the extent of substitution between workers of different sex and age is also examined. Two particularly important institutions in the Australian labour market, namely trade unions and the arrangement known as the Accord, are examined in the thesis. A method of measuring union activity is presented together with a model explaining union membership. The effect of the Accord on wages, employment, long term unemployment and trade union membership receive particular attention. Two quite different labour markets are looked at in detail - the rural labour market and the market for professional engineers. The rural labour market is characterised by a higher proportion of less educated workers than the economy as a whole but with a greater proportion of self employed. Many workers, particularly in the farm sector, have poorly paid insecure employment and are not highly organised. In contrast, engineers are highly educated, highly organised and well paid. It would be easy to assume that because the topics featured in this thesis are so disparate that they would require quite different analytical tools to explain behaviour. However, the central aim of this thesis is to demonstrate that in fact a consistent approach, modified where necessary to take into account some particular aspects of each case, can explain all of the examples chosen.