Academic literature on the topic 'Supply chain process model'

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Journal articles on the topic "Supply chain process model"

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Lee, Youngsu, and Suk-Chul Rim. "Quantitative Model for Supply Chain Visibility: Process Capability Perspective." Mathematical Problems in Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/4049174.

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Currently, the intensity of enterprise competition has increased as a result of a greater diversity of customer needs as well as the persistence of a long-term recession. The results of competition are becoming severe enough to determine the survival of company. To survive global competition, each firm must focus on achieving innovation excellence and operational excellence as core competency for sustainable competitive advantage. Supply chain management is now regarded as one of the most effective innovation initiatives to achieve operational excellence, and its importance has become ever mor
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Radosavljević, Marija. "Process Orientation as a Basis for increasing supply chain Management Maturity." Economic Themes 53, no. 3 (2015): 398–414. http://dx.doi.org/10.1515/ethemes-2015-0023.

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AbstractProcess management is an essential element of modern management models, at the enterprise level, but also at the supply chain level. However, the importance of process management is explicitly indicated by the process management maturity models, through analysis of the level of process orientation, or through analysis of the level of quality of process orientation components. Starting from the fact that competition in modern conditions often takes place between supply chains, process management maturity grows into supply chain management maturity. Some of the supply chain management ma
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Blecken, Alexander, Bernd Hellingrath, Wilhelm Dangelmaier, and Sabine F. Schulz. "A humanitarian supply chain process reference model." International Journal of Services Technology and Management 12, no. 4 (2009): 391. http://dx.doi.org/10.1504/ijstm.2009.025815.

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Farazi, Md Zahidur Rahman. "Building Agile Supply Chains with Supply Chain 4.0: A Data-Driven Approach to Risk Management." American Journal of Engineering and Technology 7, no. 3 (2025): 21–34. https://doi.org/10.37547/tajet/volume07issue03-03.

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The aim of this study is to advance multi-label delivery delay predictions in supply chains using machine learning and deep learning models. The work used Decision Trees, Random Forests, CNN, and FNN on a real-life logistics dataset consisting of customers and products features. EDA and feature selection were examined and performed as a part of the data preprocessing process at the pre-processing step of the models. According to current model results, Random Forest model reached maximum accuracy of 66.5% along with Decision Trees and FNN. CNN, although, worked well in some instances was not up
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Maulidah, Silvana. "Risk Mitigation of Tobacco Supply Chain: Business Process Model." HABITAT 31, no. 3 (2020): 149–60. http://dx.doi.org/10.21776/ub.habitat.2020.031.3.18.

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Tobacco and its industrial products are a massive business in international trade. As a potential agro-industry, the tobacco products industry requires a supply of raw materials that must meet quantity, quality and continuity. The complexity of the tobacco supply chain network and the rapidly changing world business dynamics, pose risks in its business processes. An optimal supply chain risk mitigation or risk management strategy needs for the resilience of the tobacco supply chain in the disruption. The purpose of this study is to analyze the level of risk priority and also to formulate a ris
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Abdul Rasib, Nur Fathin Nadira. "SUPPLY CHAIN INNOVATION BOLSTERED UP BY SUPPLY CHAIN MODEL." International Journal of Innovation and Industrial Revolution 5, no. 13 (2023): 158–83. http://dx.doi.org/10.35631/ijirev.513014.

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The purpose of this study was to examine the level and relationship between supply chain management practices (SCMP), competitive advantage (CA), and supply chain innovation (SCI) among manufacturing firms in Malaysia. Giri and Bardhan (2015) found out that supply chain process becomes inefficient and lack business strategies has affect the operation which led to poor profitability. That’s why manufacturing supply chain needs to innovate constantly for maintaining their position in the marketplace and to fight uncertainties. Hence firms are focusing on strategies for developing innovation with
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Soshko, Oksana. "Model-Based Supply Chain Management." Scientific Journal of Riga Technical University. Computer Sciences 45, no. 1 (2011): 116–22. http://dx.doi.org/10.2478/v10143-011-0052-z.

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Model-Based Supply Chain Management The paper is focused on application of modelling and simulation approaches in supply chain management. First, essentials of multi echelon supply chain management are discussed including the functionality of supply chain information systems. Then, a variety of modelling and simulation approaches are analyzed in the context of supply chain management, for example, simulation, stochastic programming, business process modelling and reference model. Finally, some illustrative examples are provided on application of simulation and modelling approaches to supply ch
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Kim, Yong-Woo, Seung-Heon Han, June-Seong Yi, and SooWon Chang. "Supply chain cost model for prefabricated building material based on time-driven activity-based costing." Canadian Journal of Civil Engineering 43, no. 4 (2016): 287–93. http://dx.doi.org/10.1139/cjce-2015-0010.

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The effect of ‘supply chain management’ can be leveraged when benefits of collaboration within and beyond the capacities of individual organizations are witnessed. One of the primary tasks in reducing total supply chain costs is to understand where the costs occur in a supply chain and how each activity impacts the total supply chain costs. Most supply chains in construction usually involve multiple entities, each one in a different process. A rebar supply chain is one example where many entities are involved in different processes. The supply chain coordinator needs a supply chain cost model,
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Mezouar, Houda, and Abdellatif El Afia. "Performance analysis model for service supply chains : case of the retirement supply chain." International Journal of Engineering & Technology 7, no. 3 (2018): 1429. http://dx.doi.org/10.14419/ijet.v7i3.13929.

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A service supply chain (SSC) is a supply network that transfers resources into services with or without physical products, to satisfy cus-tomer needs. So it’s evident that without offering the right service at the right time to the right person, the service is incomplete, inconsistent and ineffective. In the same context, the retirement field faces the challenge of offering the correct pension to the right pensioner the first month of his retirement. This paper approaches this challenge from a SSC perspective as a case study for dealing with continuity in service supply chain. It uses a method
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Quttineh, Nils-Hassan, Helene Lidestam, Mårten Ahlstedt, and Sven Olsson. "Supply Chain Modeling for a Process Industry." International Journal of Operations Research and Information Systems 8, no. 2 (2017): 36–55. http://dx.doi.org/10.4018/ijoris.2017040102.

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Process industries of today differ from other industries in many aspects. The purpose of this paper is to consider these special properties of process industries when developing a mathematical model that can be used as a decision support tool for the supply chain planning for a chemical process industry in Sweden. A mixed-integer linear programming model is developed, and solutions to the model present how the products will be transported between the different sites of the company, the levels of the inventories, the setups and purchases from the external suppliers and also the production rates
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Dissertations / Theses on the topic "Supply chain process model"

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Anvar, Meysam Maleki. "Supply chain integration model: practices and customer values." Doctoral thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/10688.

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Dissertation to obtain PhD in Industrial Engineering<br>In order to increase partnership efficiency and truly meet the customers' demands, in today's business environment companies are operating in supply chains. Integration of supply chains facilitates minimizing diferent types of wastes and satisfying needs of the end customer. The first step toward supply chain integration is to understandand the customer values, and to reconfigure supply chain to support those values. The current research addresses supply chain integration through quantifying relations between supply chain practice and cu
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Viswanathan, Ashok. "A statistical prediction model for the inspection process in an outbound automotive supply chain." Diss., Online access via UMI:, 2007.

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Thesis (M.S.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Systems Science and Industrial Engineering, 2007.<br>Includes bibliographical references.
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Garg, Amit. "Development of a process and performance oriented reference model to integrate 3rd party logistics providers into supply chains." Aachen Shaker, 2010. http://d-nb.info/1001705491/04.

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Abreu, Paulo Emil Nikolas Mourão de Melo e. "An ANP model to support decision-making in a Portuguese pharmaceutical supply chain." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/10724.

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Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial<br>In order to cope up with a volatile and scarce environment, companies have had to adopt new ways of thinking. One of them is embracing Supply Chain Management (SCM) and considering it as a crucial asset if willing to compete in the marketplace. In the context of SCM, it is important to understand how Lean and Agile SCM paradigms are adopted as means of achieving an efficient Supply Chain (SC). Besides the mentioned paradigms, many Key Performance Indicators (KPIs) and management practices come along with SCM, and
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Soliman, Karim. "Building a resilient supply chain model in the Middle East Region : an empirical study on Fast Moving Consumer Goods industry." Thesis, University of Plymouth, 2017. http://hdl.handle.net/10026.1/9694.

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Fast Moving Consumer Goods (FMCG) supply chains (SCs) are becoming more and more vulnerable to different types of risks due to the increasing complexity of markets, uncertainties, and turbulence, especially in the Middle East Region (MER). The main reason behind this is the political and economic instabilities resulting from the Arab Spring revolutions which affected all SC entities. There is an urgent need to investigate how to build resilient SCs that can help all partners in the chain to proactively identify and sidestep risks, and bounce back more quickly in the case of disruptions. For th
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Kroener, Martina Ursula. "Multi-level Analytic Network Process Model to Mitigate Supply Chain Disruptions in Disaster Recovery Planning." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1540.

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Over the past few decades, environmental changes have led to more frequent occurrences and greater intensities of natural disasters worldwide. In terms of globally connected supply chains, this has resulted in an enormous economical loss for corporations. Therefore, Business Continuity and Disaster Recovery (BC/DR) planning and management has become essential for businesses in order to protect their critical business flow. Yet there is a lack of systematic and transparent methodologies for companies to handle this problem. Hence, this thesis introduces a novel approach to combine consecutive s
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Norman, Larsson Sebastian, and Jesper Kjellström. "Förbättra pålitligheten i leveranser till kund genom att använda SCOR-modellen." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Industriell organisation och produktion, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-31822.

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Syfte – Studiens syfte är att bidra till kunskap om hur SCOR-modellen kan användas för att identifiera och förbättra en kritisk process i ett orderflöde med avseende att höja pålitligheten i leveranser till kund. För att uppfylla syftet har det brutits ner i tre delmål.Delmål 1: Att kartlägga det nuvarande orderflödets materialflöde och informationsflöde.Delmål 2: Att utvärdera orderflödet med hjälp av SCOR-modellen och identifiera en kritisk process med avseende att höja pålitligheten i leveranser till kund.Delmål 3: Att analysera den kritiska processen utifrån SCOR-modellen och identifiera f
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Ovesson, Elin, and Niklas Stadler. "Creation of a Simulation Model based upon Process Mapping within Pipeline Management at Scania." Thesis, Linköpings universitet, Logistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-96797.

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This is a Master’s Thesis that has been carried out at the Global Outbound Logistics department at Scania. Scania manufactures trucks, buses and engines. Some trucks and buses are delivered to markets where it, due to reduced customs duties and cheaper manpower, is more profitable to do the assembly locally at so called Regional Product Centres (RPCs). Since the components are produced far away from the RPC markets the lead times become long. In addition, the customers’ buying behaviour at the RPC markets is often not comparable to the European culture were a customer can accept to wait for we
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Imberti, Arturo, Edgar Ramos, Kelsey Provost, and Anshuman Neil Basu. "Towards a hybrid conceptual operational management model of canazo supply chain: A research on the sugar-cane spirit from Peru." ExcelingTech, 2020. http://hdl.handle.net/10757/653829.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.<br>The present research seeks to show the importance of applying process management techniques and food safety norms in the operational processes of the supply chain to know the meaning and the need for an integrated hybrid model. The article reviews the sugarcane distillery sector of Peru and its main operational problems. Based on the literature reviewed and discussed with academics who have knowledge of the food supply chain, an integrated hybr
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Aroge, Olatunde O. "Assessment Of Disruption Risk In Supply Chain The Case Of Nigeria’s Oil Industry." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/17396.

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evaluate disruption risks in the supply chain of petroleum production. This methodology is developed to formalise and facilitate the systematic integration and implementation of various models; such as analytical hierarchy process (AHP) and partial least squares structural equation model (PLS-SEM) and various statistical tests. The methodology is validated with the case of Nigeria’s oil industry. The study revealed the need to provide a responsive approach to managing the influence of geopolitical risk factors affecting supply chain in the petroleum production industry. However, the explorati
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Books on the topic "Supply chain process model"

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Papageorgiou, Lazaros G. Supply chain optimization. Wiley-VCH, 2008.

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Hübner, Reinhard. Strategic Supply Chain Management in Process Industries. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72182-6.

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J, Closs David, ed. Logistical management: The integrated supply chain process. McGraw-Hill Companies, 1996.

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Poluha, Rolf G. Application of the SCOR model in supply chain management. Cambria Press, 2007.

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Reuven, Karni, and SpringerLink (Online service), eds. ERP: The Dynamics of Supply Chain and Process Management. Springer Science+Business Media, LLC, 2010.

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Pochampally, Kishore K. Strategic planning models for reverse and closed-loop supply chains. Taylor & Francis, 2008.

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Ziarati, Martin. Improving the forecasting process in the automotive after-market supply chain. De Montfort University, 2003.

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Kovalenko, Vladimir. Design of information systems. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/987869.

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The tutorial discusses the design features of information systems (is) involved in the implementation of CALS technologies: MRP/MRPII/ERP systems, e-Commerce systems (B2B), supply chain management (SCM), customer relationship management (CRM), and decision support systems (OLAP). The issues of choosing the design technology, software tools for project development, building functional and information models in the environment of Business Studio, MS Visio, Elma, AllFusion Modeling Suite and Oracle Designer 10g, as well as the development of technical and operational documentation are highlighted
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Bolstorff, Peter. Supply chain excellence: A handbook for dramatic improvement using the SCOR model. 3rd ed. American Management Association, 2012.

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Cunningham, M. Supply chain management and pipeline mapping in the time constrained process industry. University College Dublin, 1995.

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Book chapters on the topic "Supply chain process model"

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Galińska, Barbara, and Mateusz Stachura. "Conceptual Model of RPA Utilisation." In Robotic Process Automation Technology in Supply Chain Management. Productivity Press, 2024. https://doi.org/10.4324/9781003541622-7.

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Aćimović, Slobodan, and Veljko M. Mijušković. "Model Setting and Segregating the Reverse Logistics Process." In Integration of Information Flow for Greening Supply Chain Management. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24355-5_15.

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Fang, Ying, Haifeng Guo, Yuyun Jie, Yong Wang, Biliang Wang, and Yuwei He. "Supply Chain Financing Model Embedded with “Full-Process” Blockchain." In Communications in Computer and Information Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1411-0_12.

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Córdova-Lavado, Hafid Joseph, Breinner Alexander Ramos-Rodríguez, Daniel José Calderón-Romero, and Rodrigo Leonardo Aliaga-Maguiña. "Optimization of the Distribution Process with a Multi-criteria Decision Model in the Poultry Industry." In Supply Chain Management Strategies and Methodologies. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32032-3_11.

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Gong, Jiangnan, Hong Yu, and Cheng Huang. "PS-AENN-Based Prediction Model of Billet Temperature in Industrial Steelmaking Process." In Modern Industrial IoT, Big Data and Supply Chain. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6141-6_3.

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Letzgus, Celine, Jennifer Alica Kirsch, and Thomas Bauernhansl. "Data-Driven Approach for a Continuous Information Flow in a Closed-Loop Supply Chain." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77429-4_56.

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AbstractDue to the large variety of actors, channels, and materials involved, the processes of the circular economy are very complex. This complexity makes it difficult to maintain consistent data quality throughout the supply chain. Circular processes can only be applied extensively if enough data, for example supplier information, is available. Data and information from suppliers, manufacturers, end-users, and recyclers are not shared transparently through circular processes. One reason is the insufficient support from IT systems for data exchange between the different parties. To improve da
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Mendt, Tamara, Carsten Sinz, and Olga Tveretina. "Probabilistic Model Checking of Constraints in a Supply Chain Business Process." In Business Information Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21863-7_1.

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Chud-Pantoja, Vivian Lorena, Claudia Cecilia Peña-Montoya, and Juan Carlos Osorio-Gómez. "Decision Support Model for Solid Waste Management in a Closed-Loop Supply Chain." In Trends in Industrial Engineering Applications to Manufacturing Process. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71579-3_10.

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Umeda, Shigeki, and Hu Bin. "Supply Chain Business System Reference Model: A Business Process Description Using IDEF0." In Global Engineering, Manufacturing and Enterprise Networks. Springer US, 2001. http://dx.doi.org/10.1007/978-0-387-35412-5_22.

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Gabellini, Matteo, Lorenzo Civolani, Alberto Regattieri, and Francesca Calabrese. "A Data Model for Predictive Supply Chain Risk Management." In Production Processes and Product Evolution in the Age of Disruption. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34821-1_40.

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Conference papers on the topic "Supply chain process model"

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Almoussaoui, Mohamad, and Dhabia M. Al-Mohannadi. "A Modern Portfolio Theory Approach for Chemical Production with Supply Chain Considerations for Efficient Investment Planning." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.165148.

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Commodity chemicals and energy supply chains are an essential part of the hydrocarbon industry in several countries. As these supply chains are susceptible to disruptions caused by various risks, the economies of countries that depend on the hydrocarbon sector as a major source of income might be negatively affected. One major risk is the price fluctuations of the resources used in the multiple stages of the supply chains. Investment decisions in this sector aim to secure the investment portfolio's financial returns against the risk of price fluctuations. This work introduces an adaptation of
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Mitrai, Ilias, Matthew J. Palys, and Prodromos Daoutidis. "Optimal Transition of Ammonia Supply Chain Networks via Stochastic Programming." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.141495.

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This paper considers the optimal incorporation of renewable ammonia production facilities into existing supply chain networks which import ammonia from conventional producers while accounting for uncertainty in this conventional ammonia price. We model the supply chain transition problem as a two-stage stochastic optimization problem which is formulated as a Mixed Integer Linear Programming problem. We apply the proposed approach to a case study on Minnesota's ammonia supply chain. We find that accounting for conventional price uncertainty leads to earlier incorporation of in-state renewable p
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Flores, Sandra Cecilia Cerda, Catherine Azzaro-Pantel, and Fabricio N�poles Rivera. "A Techno-Economic Optimization Approach to an Integrated Biomethane and Hydrogen Supply Chain." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.153510.

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One of the proposed strategies to reach net-zero goals is the diversification of a country�s energy mix and transition to technologies that favour the mitigation of greenhouse gas emissions, while decreasing dependency on conventional fuels. This work presents a mathematical model that describes key production routes for two proposed energy transition vectors, biomethane and hydrogen, expressed as a Mixed-Integer Linear Problem (MILP). The supply chain is optimized with the objective of maximizing the profits from the global supply chain. The problem is formulated as an allocation problem, wit
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Tran, Phuc M., Eric G. O'Neill, and Christos T. Maravelias. "Methods for Efficient Solutions of Spatially Explicit Biofuels Supply Chain Models." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.133228.

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The growing size and complexity of energy system optimization models, driven by high-resolution spatial data, pose significant computational challenges. This study introduces methods to reduce model�s size and improve computational efficiency while preserving solution accuracy. First, a composite-curve-based approach is proposed to aggregate granular data into larger resolutions without averaging out specific properties. Second, a general clustering method groups geographically proximate fields, replacing multiple transportation arcs with a single arc to reduce transportation-related variables
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Piedra-Jimenez, Frank, Rishabh Mehta, Valeria Larnaudie, Maria Analia Rodriguez, and Ana In�s Torres. "A Forest Biomass-to-Hydrogen Supply Chain Mathematical Model for Optimizing Carbon Emissions and Economic Metrics." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.110922.

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This study introduces a mathematical programming approach to optimize biomass-to-hydrocarbon supply chain design and planning, aiming to balance economic and environmental outcomes. The model incorporates a range of residual biomass types from forestry, sawmills, and the pulp and paper industry, with the option to establish various processing facilities and technologies over a multi-period planning horizon. The analysis involves selecting forest areas, identifying biomass sources, and determining the optimal locations, technologies, and capacities for facilities converting wood-based residues
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Kazi, Monzure-Khoda, Akhilesh Gandhi, and M. M. Faruque Hasan. "Process and Network Design for Sustainable Hydrogen Economy." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.125411.

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This study presents a comprehensive approach to optimizing hydrogen supply chain network (HSCN), focusing initially on Texas, with potential scalability to national and global regions. Utilizing mixed-integer nonlinear programming (MINLP), the research decomposes into two distinct modeling stages: broad supply chain modeling and detailed hub-specific analysis. The first stage identifies optimal hydrogen hub locations, considering county-level hydrogen demand, renewable energy availability, and grid capacity. It determines the number and placement of hubs, county participation within these hubs
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Babadi, Hourissa Soleymani, and Lazaros G. Papageorgiou. "Optimisation of Carbon Capture Utilisation and Storage Supply Chains Under Carbon Trading and Taxation." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.194067.

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In recent years, several strategies have been developed to reduce the carbon dioxide (CO2) released into the atmosphere. Carbon Capture, Storage and Utilisation (CCUS) is one of the proposed solutions. However, CCUS systems are expensive to install and operate. Furthermore, most studies in the literature have focused on CO2 utilisation and storage separately, without accounting for the effects of other CO2 emission management strategies. To address this gap, a Mixed Integer Linear Programming (MILP) framework for a supply chain network is developed in this work, incorporating CO2 storage, util
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Kim, Sunwoo, Joungho Park, and Jay H. Lee. "Integrated Temporal Planning for Design and Operation of the International Green Ammonia Supply Chain." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.156355.

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This research is dedicated to designing and economically evaluating the green ammonia supply chain, considering the fluctuating nature of renewable energy sources and energy demand across both hourly and seasonal variations. It also explores the impact of economies of scale and the delays associated with long-distance shipping to meet energy demands in a timely manner. These considerations require the formulation of a Mixed-Integer Nonlinear Programming model, further complicated by the necessity for a two-stage stochastic programming approach. We introduce a hierarchical optimization framewor
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�lvarez-Menchero, Jos� A., Rub�n Ruiz-Femenia, Raquel Salcedo-Diaz, Isabela Fons Moreno-Palancas, and Jos� A. Caballero. "Temporal Decomposition Scheme for Designing Large-Scale CO2 Supply Chains Using a Neural Network-Based Model for Forecasting CO2 Emissions." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.193502.

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The battle against climate change and the search for innovative solutions to mitigate its effects have become the focus of the researchers� attention. One potential approach to reduce the impacts of the global warming could be the design of a Carbon Capture and Storage Supply Chain (CCS SC). However, the high complexity of the model requires exploring alternative ways to optimise it. In this work, a CCS multi-period supply chain for Europe is designed. Data on CO2 emissions have been sourced from the EDGAR database, which includes information spanning the last 50 years. Since this problem invo
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Santana, Leonardo O. S. de, Gustavo S. dos Santos, Fernando L. P. Pessoa, and Ana P. Barbosa-P�voa. "The Green Hydrogen Supply Chain in The Brazilian State of Bahia: A Deterministic Approach." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.185907.

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Hydrogen is a key element in the global transition toward a low-carbon economy, with green hydrogen offering significant potential to decarbonize industries and energy systems. This study focuses on designing and optimizing a green hydrogen supply chain (HSC) for the state of Bahia, Brazil, using a deterministic Mixed-Integer Linear Programming (MILP) model. The model evaluates 24 scenarios combining production sites, storage technologies, transportation methods, and energy sources, minimizing the Total Sustainable Cost (TSC). The TSC integrates financial and environmental costs, monetizing CO
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Reports on the topic "Supply chain process model"

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Kramer, Carol, Derek Stallard, Corey Boyd, et al. Supply chain quality management process explained. BioPhorum, 2022. http://dx.doi.org/10.46220/2022sp002.

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Gregorio, J., J. Hughes, and C. Lorch. Model Based Definition – Recommendations for Supply Chain Integration. National Physical Laboratory, 2023. http://dx.doi.org/10.47120/npl.ms46.

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Roye, Thorsten. Unsettled Technology Areas in Deterministic Assembly Approaches for Industry 4.0. SAE International, 2021. http://dx.doi.org/10.4271/epr2021018.

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Increased production rates and cost reduction are affecting manufacturing in all sectors of the mobility industry. One enabling methodology that could achieve these goals in the burgeoning “Industry 4.0” environment is the deterministic assembly (DA) approach. The DA approach is defined as an optimized assembly process; it always forms the same final structure and has a strong link to design-for-assembly and design-for-automation methodologies. It also looks at the whole supply chain, enabling drastic savings at the original equipment manufacturer (OEM) level by reducing recurring costs and le
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Bonagrazia-Healey, Viviane, Alain DeLeon, Hang Nguyen, et al. Supply Chain Management Model for Modular or Flexible Optimally Manned Ships. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada607912.

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Kitzmann, Harald, and Petre Lameski. Complex planning as digitalized tasks for sustainable supply chain and process management. Peeref, 2023. http://dx.doi.org/10.54985/peeref.2303p7324452.

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Coster, Pierre. Firms’ Supply Chain Adaptation to Carbon Taxes. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1136.

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This paper investigates how firms adapt their sourcing of clean and dirty inputs in response to changes in climate policy. We use information from the European Union’s Emissions Trading System (EU ETS) and the Carbon Border Adjustment Mechanism (CBAM) to create a new classification of clean and dirty products based on whether they are subject to a domestic or a border carbon tax. We then combine this dataset with French firms’ product-level import data over 2000–2019 and estimate that firms’ propensity to import dirty inputs from non-EU countries increased in the 2010s, reflecting carbon leaka
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Maksud, A. K. M., Khandaker Reaz Hossain, Sayma Sayed, and Jody Aked. Informal Economy Perspectives on the Prevalence of Worst Forms of Child Labour in Bangladesh’s Leather Industry. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/clarissa.2024.005.

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The CLARISSA programme aims to understand the dynamics that are central to running a business in the informal economy in Bangladesh’s leather industry and explore how and why worst forms of child labour become a feature of business operations. This research paper explores the findings from semi-structured interviews with business owners operating enterprises involved in leather processing and production across three prominent neighbourhoods and business districts in and around Dhaka. A focus on the leather industry in Bangladesh is an opportunity to explore the demand side of the child labour
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Temel, Hasan, Baris Ayrus, and Mehmet A. Aslan. Estimating the Fully Burdened Cost of Supply in a Self-Sustaining Supply Chain Using an Input-Output Model. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada620826.

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Collington, Rosie, and William Lazonick. Pricing for Medicine Innovation: A Regulatory Approach to Support Drug Development and Patient Access. Institute for New Economic Thinking Working Paper Series, 2022. http://dx.doi.org/10.36687/inetwp176.

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The United States represents the world’s largest market for pharmaceutical drugs. It is also the only advanced economy in the world that does not regulate drug prices. There is no upper threshold for the prices of medicines in the United States. List prices are instead set by manufacturers in negotiation with supply-chain intermediaries, though some federal programs have degrees of discretion in price determinations. In practice, this deregulated system means that drug prices in the United States are generally far higher than in other advanced economies, adversely affecting patient accessibili
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Lindquist, Joachim, and Henning de Haas. Creating Supply Chain Resilience Through Scenario Planning: How a Digital Twin Can Be Used To Enhance Supply Chain Resilience Through Scenario Planning. Aarhus University Library, 2021. http://dx.doi.org/10.7146/aul.435.

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This book focusses on the concept of supply chain disruptions and how supply chain resilience can contribute to both preparing for and reacting to the event causing disruption. For building a digital twin of a supply chain, a software named Supply Chain Guru has been used. The software is a supply chain design tool which can be used for different kinds of supply chain network optimisation. The book outlines four scenarios: Covid-19 lockdown, Brexit without deal, Conflagration at a dairy and Political regulations on transport. The scenarios all contain a problem that needs to be solved. This pr
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