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Journal articles on the topic 'Cash management problem with uncertain demands'

Author: Grafiati

Published: 8 June 2024

Last updated: 31 July 2025

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1

Schroeder, Pascal, and Imed Kacem. "Competitive difference analysis of the cash management problem with uncertain demands." European Journal of Operational Research 283, no. 3 (2020): 1183–92. http://dx.doi.org/10.1016/j.ejor.2019.11.065.

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Song, Na, Wai-Ki Ching, Tak-Kuen Siu, and Cedric Ka-Fai Yiu. "On Optimal Cash Management under a Stochastic Volatility Model." East Asian Journal on Applied Mathematics 3, no. 2 (2013): 81–92. http://dx.doi.org/10.4208/eajam.070313.220413a.

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AbstractWe discuss a mathematical model for optimal cash management. A firm wishes to manage cash to meet demands for daily operations, and to maximize terminal wealth via bank deposits and stock investments that pay dividends and have uncertain capital gains. A Stochastic Volatility (SV) model is adopted for the capital gains rate of a stock, providing a more realistic way to describe its price dynamics. The cash management problem is formulated as a stochastic optimal control problem, and solved numerically using dynamic programming. We analyze the implications of the heteroscedasticity desc

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Pandey, Peeyush, Patel Jinil Ashvinbhai, Yushmita Singh, et al. "Modi Mangoes: managing an uncertain future." Emerald Emerging Markets Case Studies 12, no. 4 (2022): 1–18. http://dx.doi.org/10.1108/eemcs-06-2022-0208.

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Learning outcomes The case primarily focused on a real-life problem and shows that existing operations management tools can be used to solve a complex problem. Through this case, the participants will learn the application of the factor loading method and aggregate planning. Case overview/synopsis This case revolves around the Modi Agro Pvt. Ltd, a mango procurement and distribution business established in 1994 by Mr Dhanush Modi in Mumbai, India. Mr Mahendra Modi, son of the company owner, observed that the different seasons of cultivation and varied customer demands lead to changing workforc

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Lima, Relvas, Barbosa-Póvoa, and Morales. "Adjustable Robust Optimization for Planning Logistics Operations in Downstream Oil Networks." Processes 7, no. 8 (2019): 507. http://dx.doi.org/10.3390/pr7080507.

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The oil industry operates in a very uncertain marketplace, where uncertain conditions can engender oil production fluctuations, order cancellation, transportation delays, etc. Uncertainty may arise from several sources and inexorably affect its management by interfering in the associated decision-making, increasing costs and decreasing margins. In this context, companies often must make fast and precise decisions based on inaccurate information about their operations. The development of mathematical programming techniques in order to manage oil networks under uncertainty is thus a very relevan

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Rouzpeykar, Yaser, Roya Soltani, and Mohammad Ali Afashr Kazemi. "EFP-GA: An Extended Fuzzy Programming Model and a Genetic Algorithm for Management of the Integrated Hub Location and Revenue Model under Uncertainty." Complexity 2022 (July 6, 2022): 1–12. http://dx.doi.org/10.1155/2022/7801188.

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The aviation industry is one of the most widely used applications in transportation. Due to the limited capacity of aircraft, revenue management in this industry is of high significance. On the other hand, the hub location problem has been considered to facilitate the demands assignment to hubs. This paper presents an integrated p-hub location and revenue management problem under uncertain demand to maximize net revenue and minimize total cost, including hub establishment and transportation costs. A fuzzy programming model and a genetic algorithm are developed to solve the proposed model with

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Nasiri. "COORDINATED LOCATION, DISTRIBUTION AND INVENTORY DECISIONS IN SUPPLY CHAIN NETWORK DESIGN: A MULTI-OBJECTIVE APPROACH." South African Journal of Industrail Engineering 23, no. 2 (2012): 159–75. https://doi.org/10.7166/23-2-338.

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This research presents an integrated multi-objective distribution model for use in simultaneous strategic and operational food supply chain (SC) planning. The proposed method is adopted to allow use of a performance measurement system that includes conflicting objectives such as distribution costs, customer service level (safety stock holding), resource utilisation, and the total delivery time, with reference to multiple warehouse capacities and uncertain forecast demands. To deal with these objectives and enable the decision makers (DMs) to evaluate a greater number of alternative solutions,

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Martínez-Reyes, Andrés, Carlos L. Quintero-Araújo, and Elyn L. Solano-Charris. "Supplying Personal Protective Equipment to Intensive Care Units during the COVID-19 Outbreak in Colombia. A Simheuristic Approach Based on the Location-Routing Problem." Sustainability 13, no. 14 (2021): 7822. http://dx.doi.org/10.3390/su13147822.

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The coronavirus disease 2019, known as COVID-19, has generated an imminent necessity for personal protective equipment (PPE) that became essential for all populations and much more for health centers, clinics, hospitals, and intensive care units (ICUs). Considering this fact, one of the main issues for cities’ governments is the distribution of PPE to ICUs to ensure the protection of medical personnel and, therefore, the sustainability of the health system. Aware of this challenge, in this paper, we propose a simheuristic approach for supplying personal protective equipment to intensive care u

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Rahdar, Mohammad, Lizhi Wang, Jing Dong, and Guiping Hu. "Resilient Transportation Network Design under Uncertain Link Capacity Using a Trilevel Optimization Model." Journal of Advanced Transportation 2022 (January 20, 2022): 1–16. http://dx.doi.org/10.1155/2022/5023518.

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This study addresses uncertainty in a transportation network by proposing a trilevel optimization model, which improves resiliency against uncertain disruptions. The goal is to minimize the total travel time by designing a resilient transportation network under uncertain disruptions and deterministic origin-destination demands. The trilevel optimization model has three levels. The lower level determines the network flow, and the middle level assesses the network’s resiliency by identifying the worst-case scenario disruptions that could lead to maximal travel time. The upper-level takes the sys

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Chen, Xin, and David Simchi-Levi. "A NEW APPROACH FOR THE STOCHASTIC CASH BALANCE PROBLEM WITH FIXED COSTS." Probability in the Engineering and Informational Sciences 23, no. 4 (2009): 545–62. http://dx.doi.org/10.1017/s0269964809000242.

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The stochastic cash balance problem is a periodic review inventory problem faced by a firm in which the customer demands might be positive or negative. At the beginning of each time period, the firm may decide to replenish the inventory or return excess stock. Both the ordering cost and the return cost include a fixed component and a variable component. A holding or penalty cost is charged depending on whether the inventory level is positive or negative. The objective of the firm is to find an ordering and return policy so as to minimize the total expected cost over the entire planning horizon

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Mejia, Jose, Liliana Avelar-Sosa, Boris Mederos, and Jorge L. García-Alcaraz. "Inventory Model with Stochastic Demand Using Single-Period Inventory Model and Gaussian Process." Processes 10, no. 4 (2022): 783. http://dx.doi.org/10.3390/pr10040783.

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Proper inventory management is vital to achieving sustainability within a supply chain and is also related to a company’s cash flow through the funds represented by the inventory. Therefore, it is necessary to balance excess inventory and insufficient inventory. However, this can be difficult to achieve in the presence of stochastic demand because decisions must be made in an uncertain environment and the inventory policy bears risks associated with each decision. This study reports an extension of the single-period model for the inventory problem under uncertain demand. We proposed incorporat

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Silmi Juman, Zeinul Abdeen M., Mahmoud Masoud, Mohammed Elhenawy, Hanif Bhuiyan, Md Mostafizur Rahman Komol, and Olga Battaïa. "A new algorithm for solving uncapacitated transportation problem with interval-defined demands and suppliers capacities." Journal of Intelligent & Fuzzy Systems 41, no. 1 (2021): 625–37. http://dx.doi.org/10.3233/jifs-202436.

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The uncapacitated transportation problem (UTP) deals with minimizing the transportation costs related to the delivery of a homogeneous product from multi-suppliers to multi-consumers. The application of the UTP can be extended to other areas of operations research, including inventory control, personnel assignment, signature matching, product distribution with uncertainty, multi-period production and inventory planning, employment scheduling, and cash management. Such a UTP with interval-defined demands and suppliers capacities (UTPIDS) is investigated in this paper. In UTPIDS, the demands and

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Babaee Tirkolaee, Erfan, Iraj Mahdavi, Mir Mehdi Seyyed Esfahani, and Gerhard-Wilhelm Weber. "A hybrid augmented ant colony optimization for the multi-trip capacitated arc routing problem under fuzzy demands for urban solid waste management." Waste Management & Research 38, no. 2 (2019): 156–72. http://dx.doi.org/10.1177/0734242x19865782.

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Nowadays, urban solid waste management is one of the most crucial activities in municipalities and their affiliated organizations. It includes the processes of collection, transportation and disposal. These major operations require a large amount of resources and investments, which will always be subject to limitations. In this paper, a chance-constrained programming model based on fuzzy credibility theory is proposed for the multi-trip capacitated arc routing problem to cope with the uncertain nature of waste amount generated in urban areas with the aim of total cost minimization. To deal wit

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Zhou, Yancong, and Junqing Sun. "Inventory Decisions in a Product-Updated System with Component Substitution and Product Substitution." Discrete Dynamics in Nature and Society 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/136074.

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Substitution behaviors happen frequently when demands are uncertain in a production inventory system, and it has attracted enough attention from firms. Related researches can be clearly classified into firm-driven substitution and customer-driven substitution. However, if production inventory is stock-out when a firm updates its product, the firm may use a new generation product to satisfy the customer’s demand of old generation product or use updated component to substitute old component to satisfy production demand. Obviously, two cases of substitution exist simultaneously in the product-upd

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Chovniuk, Yurii, Aleksey Priymachenko, Luydmula Zolotar, Olena Mischenko, and Oleksandra Cherednichenko. "MODELING IN INVENTORY MANAGEMENT PROBLEMS UNDER UNCERTAINTY AND TAKING INTO ACCOUNT (INFLATION) RISKS." Spatial development, no. 7 (February 23, 2024): 506–31. http://dx.doi.org/10.32347/2786-7269.2024.7.506-531.

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A model that can be used in the problems of inventory management under uncertainty and taking into account various types of risks, in particular, inflation risks, is presented and substantiated. The strategy of stock management under uncertain (stochastic) demand usually requires the creation of a certain reserve of a predetermined volume, and then the next deliveries of stocks are made. If at a certain point in time the total stock is reduced to the size of the reserve, then an urgent order for delivery of a new batch is made. If the fulfillment of the request requires a certain time (this pr

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15

Binkley, Clark S. "Preserving nature through intensive plantation forestry: The case for forestland allocation with illustrations from British Columbia." Forestry Chronicle 73, no. 5 (1997): 553–59. http://dx.doi.org/10.5558/tfc73553-5.

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Historically British Columbia's forests were managed under the implicit assumption that virtually the whole forested land base would, one day, be available for timber production. The BC Forest Service and licencees incorporate non-timber values into timber production plans through a process of "integrated resource management" which attempts to consider wildlife, riparian habitat, recreation, water flows, grazing and other forest uses in each decision about each hectare where logging is to occur. Under this extensive form of management, silvicultural investments are low. This policy has clearly

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Heide, Mats, and Charlotte Simonsson. "What was that all about? On internal crisis communication and communicative coworkership during a pandemic." Journal of Communication Management 25, no. 3 (2021): 256–75. http://dx.doi.org/10.1108/jcom-09-2020-0105.

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PurposeThe aim of this paper is to contribute with increased knowledge of the complex role of internal communication during a crisis like the COVID-19 pandemic. More specifically, the authors want to address the following research questions. How can the overall approach to internal crisis communication during the pandemic be interpreted, and what view of internal crisis communication does this approach reflect? What has been characteristic of the leadership communication during the pandemic? What do coworkers think of their communication role and how well does the internal communication suppor

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Schroeder, Pascal, and Imed Kacem. "Optimal cash management with uncertain, interrelated and bounded demands." Computers & Industrial Engineering 133 (July 2019): 195–206. http://dx.doi.org/10.1016/j.cie.2019.04.052.

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Chaerani, Diah, Athaya Zahrani Irmansyah, Tomy Perdana, and Nurul Gusriani. "Contribution of robust optimization on handling agricultural processed products supply chain problem during Covid-19 pandemic." Uncertain Supply Chain Management 10, no. 1 (2022): 239–54. http://dx.doi.org/10.5267/j.uscm.2021.9.004.

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This research aims to show how decision sciences can make a significant contribution on handling the supply chain problem during Covid-19 Pandemic. The paper discusses how robust optimization handles uncertain demand in agricultural processed products supply chain problems within two scenarios during the pandemic situation, i.e., the large-scale social distancing and partial social distancing. The study assumes that demand and production capacity are uncertain during a pandemic situation. Robust counterpart methodology is employed to obtain the robust optimal solution. To this end, the uncerta

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Liang, Nai Wen. "Inventory Management with Uncertain Demands Based on Probability Methods." Applied Mechanics and Materials 121-126 (October 2011): 2064–66. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.2064.

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The inventory management problem with uncertain demands is considered in this paper. the possibility theory and credibility theory are employed to solve the problem regarding uncertain demands, and different order strategies and storage strategies according to the different customer’s demand are designed for rational inventory management. Finally, a rule is designed for choosing the storage strategy.

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Mou, Deyi, and Xiaoxin Wang. "Uncertain Programming for Network Revenue Management." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/187275.

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The mathematical model for airline network seat inventory control problem is usually investigated to maximize the total revenue under some constraints such as capacities and demands. This paper presents a chance-constrained programming model based on the uncertainty theory for network revenue management, in which the fares and the demands are both uncertain variables rather than random variables. The uncertain programming model can be transformed into a deterministic form by taking expected value on objective function and confidence level on the constraint functions. Based on the strategy of n

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Guo, Zhaozhuang, Shengnan Tian, and Yankui Liu. "A Multiproduct Single-Period Inventory Management Problem under Variable Possibility Distributions." Mathematical Problems in Engineering 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/2159281.

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In multiproduct single-period inventory management problem (MSIMP), the optimal order quantity often depends on the distributions of uncertain parameters. However, the distribution information about uncertain parameters is usually partially available. To model this situation, a MSIMP is studied by credibilistic optimization method, where the uncertain demand and carbon emission are characterized by variable possibility distributions. First, the uncertain demand and carbon emission are characterized by generalized parametric interval-valued (PIV) fuzzy variables, and the analytical expressions

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Zhao, Jiao, Tao Wang, and Thibaud Monteiro. "A Bi-Objective Home Health Care Routing and Scheduling Problem under Uncertainty." International Journal of Environmental Research and Public Health 21, no. 3 (2024): 377. http://dx.doi.org/10.3390/ijerph21030377.

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Home health care companies provide health care services to patients in their homes. Due to increasing demand, the provision of home health care services requires effective management of operational costs while satisfying both patients and caregivers. In practice, uncertain service times might lead to considerable delays that adversely affect service quality. To this end, this paper proposes a new bi-objective optimization problem to model the routing and scheduling problems under uncertainty in home health care, considering the qualification and workload of caregivers. A mixed-integer linear p

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Lin, Sichen. "Cash Operation Risk Management of Mount Putuo Commercial Bank in Zhoushan City." Finance and Market 5, no. 1 (2020): 5. http://dx.doi.org/10.18686/fm.v5i1.1607.

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<p>Due to the relatively inconvenient traffic conditions on Mount Putuo Island in Zhoushan City, commercial banks faced the problems of long cash escort routes, potential risks in social management and many uncertain factors after the banks setting up their institutions on the island. The island is relatively independent and rich in tourism resources. With the construction of the comprehensive bonded zone, Putuo's economic development has been continually developing, and the amount of cash withdrawal has increased significantly. Therefore, Mount Putuo Island Commercial Banking Institutio

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Azizi, Vahid, and Guiping Hu. "A Multi-Stage Stochastic Programming Model for the Multi-Echelon Multi-Period Reverse Logistics Problem." Sustainability 13, no. 24 (2021): 13596. http://dx.doi.org/10.3390/su132413596.

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Reverse logistics planning plays a crucial role in supply chain management. Stochasticity in different parameters along with time horizon can be a challenge in solving reverse logistics problems. This paper proposes a multi-stage, multi-period reverse logistics with lot sizing decisions under uncertainties. The main uncertain factors are return and demand quantities, and return quality. Moment matching method was adopted to generate a discrete set of scenarios to represent the original continuous distribution of stochastic parameters. Fast forward selection algorithm was employed to select the

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Ji, Ying, Jianhui Wang, Jiacan Xu, Xiaoke Fang, and Huaguang Zhang. "Real-Time Energy Management of a Microgrid Using Deep Reinforcement Learning." Energies 12, no. 12 (2019): 2291. http://dx.doi.org/10.3390/en12122291.

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Driven by the recent advances and applications of smart-grid technologies, our electric power grid is undergoing radical modernization. Microgrid (MG) plays an important role in the course of modernization by providing a flexible way to integrate distributed renewable energy resources (RES) into the power grid. However, distributed RES, such as solar and wind, can be highly intermittent and stochastic. These uncertain resources combined with load demand result in random variations in both the supply and the demand sides, which make it difficult to effectively operate a MG. Focusing on this pro

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Zhang, Qiao, and Gang Li. "A Game Theory Energy Management Strategy for a Fuel Cell/Battery Hybrid Energy Storage System." Mathematical Problems in Engineering 2019 (January 9, 2019): 1–12. http://dx.doi.org/10.1155/2019/7860214.

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This paper introduces a game theory approach to implement power flow distribution mission for a fuel cell/battery hybrid system considering uncertain power information. To fully describe the vying interaction relationship between the fuel cell and the battery, we design the power distribution problem as a noncooperative game problem, in which the fuel cell and the battery are deemed to be two interactional players, and each one chooses proper amount of power supply to maximize its own optimization function relying on the other chosen. Different from all previous research work in the published

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Soshko, Oksana, Vilmars Vjakse, and Yuri Merkuryev. "Modelling Inventory Management System at Distribution Company: Case Study." Scientific Journal of Riga Technical University. Computer Sciences 42, no. 1 (2010): 87–93. http://dx.doi.org/10.2478/v10143-010-0047-1.

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Modelling Inventory Management System at Distribution Company: Case Study The paper presents a case study on improving inventory management at the distribution company which operates in Latvia. The case study is focused on application of different modelling approaches in inventory management under uncertain demand, namely inventory models, simulation models and optimization model. The functionality of each model as well as its benefits for the current problem is discussed in the end of the paper.

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Zhang, Bin, Li Sun, Mengyao Yang, Kin-Keung Lai, and Bhagwat Ram. "A Robust Optimization Approach for Smart Energy Market Revenue Management." Energies 16, no. 19 (2023): 7000. http://dx.doi.org/10.3390/en16197000.

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We propose a network optimization model for smart energy market management in the context of an uncertain environment. The network optimization considers the stochastic programming approach to capture the randomness of the unknown demands. We utilize the particle swarm optimization technique in the proposed model to solve the proposed optimization problem. The present research is based on the inclusion of stochastic demands and uncertain energy prices. Optimizing produced energy is crucial for efficient usage and meeting the targets. The proposed model also focuses on addressing sustainability

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Qin, Yichen, Hoi-Lam Ma, Felix T. S. Chan, and Waqar Ahmed Khan. "A scenario-based stochastic programming approach for aircraft expendable and rotable spare parts planning in MRO provider." Industrial Management & Data Systems 120, no. 9 (2020): 1635–57. http://dx.doi.org/10.1108/imds-03-2020-0131.

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PurposeThis paper aims to build a novel model and approach that assist an aircraft MRO procurement and overhaul management problems from the perspective of aircraft maintenance service provider, in order to ensure its smoothness maintenance activities implementation. The mathematical model utilizes the data related to warehouse inventory management, incoming customer service planning as well as risk forecast and control management at the decision-making stage, which facilitates to alleviate the negative impact of the uncertain maintenance demands on the MRO spare parts inventory management ope

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Armanda, Adiqya May Dwi, Sutrisno, Sunarsih, Widowati, and Kartono. "Probabilistic-fuzzy programming model with chance-constrained to optimize wastewater treatment plants: A case study with the Bantul wastewater treatment plant layout." E3S Web of Conferences 605 (2025): 03036. https://doi.org/10.1051/e3sconf/202560503036.

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This study introduces a novel optimization approach, employing chance-constrained probabilistic-fuzzy uncertain programming, to enhance the efficiency of facultative ponds in wastewater management systems. Unlike traditional deterministic or stochastic models, this approach integrates both probabilistic and fuzzy uncertainties capturing real-world variations in Biological Oxygen Demand (BOD) degradation rates and wastewater loads. The model addresses the decision-making scenario where some uncertain parameters, like the rate of BOD reduction, are probabilistic with some probability density fun

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Liu, Wei, Youfa Sun, and Xu Chen. "Mean-field formulation for mean-variance asset-liability management with cash flow under an uncertain exit time." Open Mathematics 20, no. 1 (2022): 24–37. http://dx.doi.org/10.1515/math-2022-0007.

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Abstract The asset-liability management problem with cash flow under an uncertain exit time has been investigated in this article, which is based on the fundamental framework of the mean-variance model in the multi-period version. The liability and random cash flow will affect asset optimization, while the investor may be forced to withdraw from investments with a random probability at each period in our model. The closed-form expressions for the mean-variance optimal portfolio selection and its corresponding efficient frontier are obtained by employing the mean-field formulation and dynamic p

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Baghbani, Bijan. "A Mixed Integer Programming Optimization of Blood Plasma Supply Chain in the Uncertainty Conditions during COVID-19: A Real Case in Iran." Discrete Dynamics in Nature and Society 2022 (August 31, 2022): 1–9. http://dx.doi.org/10.1155/2022/3783119.

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Blood and its products, like plasma, are among the most sensitive products for the sake of transportation and storage. Special storage conditions, short shelf life, and lack of particular demand for blood products are among the most significant challenges to managing it. In this respect, it is necessary to implement the problem of supply chain network design in uncertain conditions to find a proper solution for the management of blood products. In this study, a multilevel supply chain is designed to supply plasma in the COVID-19 pandemic. First, the blood is sent to blood donation centers and

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Allahyari, Somayeh, Saeed Yaghoubi, and Tom Van Woensel. "The secure time-dependent vehicle routing problem with uncertain demands." Computers & Operations Research 131 (July 2021): 105253. http://dx.doi.org/10.1016/j.cor.2021.105253.

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Liang, Bian, Dapeng Yang, Xinghong Qin, and Teresa Tinta. "A Risk-Averse Shelter Location and Evacuation Routing Assignment Problem in an Uncertain Environment." International Journal of Environmental Research and Public Health 16, no. 20 (2019): 4007. http://dx.doi.org/10.3390/ijerph16204007.

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Disasters such as hurricanes, earthquakes and floods continue to have devastating socioeconomic impacts and endanger millions of lives. Shelters are safe zones that protect victims from possible damage, and evacuation routes are the paths from disaster zones toward shelter areas. To enable the timely evacuation of disaster zones, decisions regarding shelter location and routing assignment (i.e., traffic assignment) should be considered simultaneously. In this work, we propose a risk-averse stochastic programming model with a chance constraint that takes into account the uncertainty in the dema

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Huo, Jia-Zhen, Yan-Ting Hou, Feng Chu, and Jun-Kai He. "A Combined Average-Case and Worst-Case Analysis for an Integrated Hub Location and Revenue Management Problem." Discrete Dynamics in Nature and Society 2019 (March 12, 2019): 1–13. http://dx.doi.org/10.1155/2019/8651728.

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This paper investigates joint decisions on airline network design and capacity allocation by integrating an uncapacitated single allocation p-hub median location problem into a revenue management problem. For the situation in which uncertain demand can be captured by a finite set of scenarios, we extend this integrated problem with average profit maximization to a combined average-case and worst-case analysis of this integration. We formulate this problem as a two-stage stochastic programming framework to maximize the profit, including the cost of installing the hubs and a weighted sum of aver

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Liu, Peide, Ayad Hendalianpour, Jafar Razmi, and Mohamad Sadegh Sangari. "A solution algorithm for integrated production-inventory-routing of perishable goods with transshipment and uncertain demand." Complex & Intelligent Systems 7, no. 3 (2021): 1349–65. http://dx.doi.org/10.1007/s40747-020-00264-y.

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AbstractSupply and distribution management of blood products is a challenging task due to their short lifespan. The problem is even more sophisticated considering uncertain demand for these products. This paper addresses integrated inventory-routing of blood in a supply chain network consisting of a single supplier and a group of blood centers. Transshipment among blood centers is allowed to decrease the cost of excess inventory and shortage of goods. A mathematical model is developed that decides on the optimal quantity of supplied blood, delivery plan, inventory level, and quantity of produc

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Makkar, Sandhya. "Two Stage Supply Chain Optimization for Perishable Products Under Fuzzy Environment." International Journal of Risk and Contingency Management 8, no. 3 (2019): 31–48. http://dx.doi.org/10.4018/ijrcm.2019070103.

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In the changing market scenario, supply chain management is getting phenomenal importance amongst researchers. Studies on supply chain management have emphasized the vitality of a long-term strategic relationship between the supplier, distributor and retailer. In this article, the authors have studied a two-stage supply chain coordination problem under uncertain costs and demand information when integrated procurement and distribution decisions of supply chain has to be employed. The model incorporates a single supplier transporting its products to multiple destinations of a retailer. This pro

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Muneeb, Syed Mohd, Mohammad Asim Nomani, Malek Masmoudi, and Ahmad Yusuf Adhami. "A bi-level decision-making approach for the vendor selection problem with random supply and demand." Management Decision 58, no. 6 (2019): 1164–89. http://dx.doi.org/10.1108/md-10-2017-1017.

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Purpose Supplier selection problem is the key process in decision making of supply chain management. An effective selection of vendors is heavily responsible for the success of any organization. Vendor selection problem (VSP) reflects a more practical view when the decision makers involved in the problem are present on different levels. Moreover, vendor selection consists of various random parameters to be dealt with in real life. The purpose of this paper is to present a decentralized bi-level VSP where demand and supply are normal random variables and objectives are fuzzy in nature. Decision

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Lev, Raskin, Sira Oksana, and Karpenko Viacheslav. "TRANSPORTATION MANAGEMENT IN A DISTRIBUTED LOGISTIC CONSUMPTION SYSTEM UNDER UNCERTAINTY CONDITIONS." EUREKA: Physics and Engineering, no. 4 (July 31, 2019): 82–90. https://doi.org/10.21303/2461-4262.2019.00936.

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The problem of supply management in the supplier-to-consumer logistics transport system has been formed and solved. The novelty of the formulation of the problem consists in the integrated accounting of costs in the logistic system, which takes into account at the same time the cost of transporting products from suppliers to consumers, as well as the costs for each of the consumers to store the unsold product and losses due to possible shortages. The resulting optimization problem is no longer a standard linear programming problem. In addition, the work assumes that the solution of the problem

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Raskin, Lev, Oksana Sira, and Viacheslav Karpenko. "TRANSPORTATION MANAGEMENT IN A DISTRIBUTED LOGISTIC CONSUMPTION SYSTEM UNDER UNCERTAINTY CONDITIONS." EUREKA: Physics and Engineering 4 (July 31, 2019): 82–90. http://dx.doi.org/10.21303/2461-4262.2019.00936.

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The problem of supply management in the supplier-to-consumer logistics transport system has been formed and solved. The novelty of the formulation of the problem consists in the integrated accounting of costs in the logistic system, which takes into account at the same time the cost of transporting products from suppliers to consumers, as well as the costs for each of the consumers to store the unsold product and losses due to possible shortages. The resulting optimization problem is no longer a standard linear programming problem. In addition, the work assumes that the solution of the problem

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Abd ul Muqeet, Hafiz, Hafiz Mudassir Munir, Aftab Ahmad, Intisar Ali Sajjad, Guang-Jun Jiang, and Hong-Xia Chen. "Optimal Operation of the Campus Microgrid considering the Resource Uncertainty and Demand Response Schemes." Mathematical Problems in Engineering 2021 (May 27, 2021): 1–18. http://dx.doi.org/10.1155/2021/5569701.

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Present power systems face problems such as rising energy charges and greenhouse gas (GHG) releases. These problems may be assuaged by participating distributed generators (DGs) and demand response (DR) policies in the distribution system (DS). The main focus of this paper is to propose an energy management system (EMS) approach for campus microgrid (µG). For this purpose, a Pakistani university has been investigated and an optimal solution has been proposed. Conventionally, it contains electricity from the national grid only as a supply to fulfil the energy demand. Under the proposed setup, i

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Dwijendra, Ngakan Ketut Acwin, Wongchai Anupong, Ahmed Majed Althahabi, et al. "Optimal Dispatch of the Energy Demand in Electrical Distribution Grid with Reserve Scheduling." Environmental and Climate Technologies 27, no. 1 (2023): 80–91. http://dx.doi.org/10.2478/rtuect-2023-0007.

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Abstract The operation of the electrical systems is a major problem for electrical companies’ subject to uncertainties threatening. In this study, the optimal management of the energy demand in the electrical distribution grid is done by interval optimization approach under electrical price uncertainty. The management of the energy demand is implemented via incentive-based modelling of the demand response programs (DRPs). The incentive-based modelling as reserve, and based on bid price for reduction of the electrical demand at peak hours is proposed. The interval optimization approach is used

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Weintraub, Andrés, and Alejandra Abramovich. "Analysis of Uncertainty of Future Timber Yields in Forest Management." Forest Science 41, no. 2 (1995): 217–34. http://dx.doi.org/10.1093/forestscience/41.2.217.

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Abstract We consider the effect that the uncertainty of future yields has on forest management. One way of modeling this problem is through chance constrained linear programming, where constraints are represented as probabilistic statements. Under normality conditions, an equivalent deterministic nonlinear program can be solved in an efficient way using a cutting plane algorithm, which takes advantage of the characteristics of the problem. To deal with uncertainty, we propose a forest planning approach, based on chance constrained linear programming. We also analyze the importance of including

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Testuri, Carlos E., Héctor Cancela, and Víctor M. Albornoz. "A multistage stochastic lot-sizing problem with cancellation and postponement under uncertain demands." RAIRO - Operations Research 55, no. 2 (2021): 861–72. http://dx.doi.org/10.1051/ro/2021042.

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A multistage stochastic capacitated discrete procurement problem with lead times, cancellation and postponement is addressed. The problem determines the procurement of a product under uncertain demand at minimal expected cost during a time horizon. The supply of the product is made through the purchase of optional distinguishable orders of fixed size with delivery time. Due to the unveiling of uncertainty over time it is possible to make cancellation and postponement corrective decisions on order procurement. These decisions involve costs and times of implementation. A model of the problem is

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Ji, Ying, Shaojian Qu, and Zhensheng Yu. "A New Method for Solving Multiobjective Bilevel Programs." Discrete Dynamics in Nature and Society 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/2870420.

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We study a class of multiobjective bilevel programs with the weights of objectives being uncertain and assumed to belong to convex and compact set. To the best of our knowledge, there is no study about this class of problems. We use a worst-case weighted approach to solve this class of problems. Our “worst-case weighted multiobjective bilevel programs” model supposes that each player (leader or follower) has a set of weights to their objectives and wishes to minimize their maximum weighted sum objective where the maximization is with respect to the set of weights. This new model gives rise to

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KUMAR, MANEESH, and Barjeev Tyagi. "Optimal Energy Management and Sizing of a Community Smart Microgrid Using Demand Side Management with Load Uncertainty." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 15, no. 2 (2021): 186–97. http://dx.doi.org/10.37936/ecti-cit.2021152.240491.

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This paper presents an optimal energy management and sizing of a smart community microgrid (MG) with the uncertainty in load demand. An isolated small scale microgrid is considered with no access to the main supply grid. For simplicity, a small community of 15 houses located in a remote area is considered, and the loads are divided into controllable and uncontrollable categories. Demand side management (DSM) is being utilized to produce a feasible alteration to the controllable part of the load. The Overall problem is formulated to fix the optimal size of distributed generations (DGs) used in

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Shrivastava, Himanshu, Andreas T. Ernst, and Mohan Krishnamoorthy. "Distribution and Inventory Planning in a Supply Chain Under Transportation Route Disruptions and Uncertain Demands." International Journal of Information Systems and Supply Chain Management 12, no. 3 (2019): 47–71. http://dx.doi.org/10.4018/ijisscm.2019070103.

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This article considers transportation disruptions and its detrimental impact on the quality of the enroute shipment. The authors consider a supply chain system of a short life cycle product that has a capacitated supplier, a retailer and multiple routes of transportation under different disruption risks, uncertain cost of transportation, and uncertain demands. The authors investigate a hybrid problem in which the firm needs to develop a suitable distribution strategy under disruption risks along with an optimal checking policy when faced with the supply of varying quantities of damaged items.

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Montoya, Oscar Danilo, Federico Martin Serra, and Walter Gil-González. "A Robust Conic Programming Approximation to Design an EMS in Monopolar DC Networks with a High Penetration of PV Plants." Energies 16, no. 18 (2023): 6470. http://dx.doi.org/10.3390/en16186470.

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This research addresses the problem regarding the efficient operation of photovoltaic (PV) plants in monopolar direct current (DC) distribution networks from a perspective of convex optimization. PV plant operation is formulated as a nonlinear programming (NLP) problem while considering two single-objective functions: the minimization of the expected daily energy losses and the reduction in the expected CO2 emissions at the terminals of conventional generation systems. The NLP model that represents the energy management system (EMS) design is transformed into a convex optimization problem via

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Xue, Weili, Xiaolin Xu, and Ruxian Wang. "Combined Sales Effort and Inventory Control under Demand Uncertainty." Discrete Dynamics in Nature and Society 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/984513.

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We study the joint inventory and sales effort management problems of a retailer in a broad context and investigate the optimal policies for a single item, periodic-review system. In each period, the demand is uncertain depending on the sales effort level exerted by the retailer, which incurs an associated cost. The retailer’s objective is to find a joint optimal inventory replenishment and sales effort policy to maximize the discounted profit over a finite horizon. We first consider a basic setting with zero setup cost and no batch ordering, under which the base stock list sales effort policy

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Makropoulos, C. K., and D. Butler. "Spatial decisions under uncertainty: fuzzy inference in urban water management." Journal of Hydroinformatics 6, no. 1 (2004): 3–18. http://dx.doi.org/10.2166/hydro.2004.0002.

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The endogenous complexity and spatial nature of the problems encountered in the urban water management environment present decision-makers with three major problems: (a) in the urban environment, every decision is site-specific, almost on a case-by-case basis, (b) the decision-maker must access, simultaneously, a large amount of information, increasing with rising spatial resolution and (c) the information to be evaluated is heterogeneous, including engineering, economical and social characteristics and constraints. The first two problems indicate that urban water management is an ideal field

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