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Journal articles on the topic 'Decision Support Systems and Linear Mixed Integer Programming'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Gomes da Silva, Carlos, José Figueira, João Lisboa, and Samir Barman. "An interactive decision support system for an aggregate production planning model based on multiple criteria mixed integer linear programming." Omega 34, no. 2 (2006): 167–77. http://dx.doi.org/10.1016/j.omega.2004.08.007.

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Rippel, Daniel, Nicolas Jathe, Michael Lütjen, and Michael Freitag. "Evaluation of Loading Bay Restrictions for the Installation of Offshore Wind Farms Using a Combination of Mixed-Integer Linear Programming and Model Predictive Control." Applied Sciences 9, no. 23 (2019): 5030. http://dx.doi.org/10.3390/app9235030.

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The installation of offshore wind farms poses particular challenges due to expensive resources and quickly changing weather conditions. Model-based decision-support systems are required to achieve an efficient installation. In the literature, there exist several models for scheduling offshore operations, which focus on vessels but neglect the influence of resource restrictions at the base port and uncertainties involved with weather predictions. This article proposes a Mixed-Integer Linear Programming model for the scheduling of installation activities, which handles several installation vesse

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Ramakurthi, Veera Babu, V. K. Manupati, José Machado, and Leonilde Varela. "A Hybrid Multi-Objective Evolutionary Algorithm-Based Semantic Foundation for Sustainable Distributed Manufacturing Systems." Applied Sciences 11, no. 14 (2021): 6314. http://dx.doi.org/10.3390/app11146314.

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Rising energy prices, increasing maintenance costs, and strict environmental regimes have augmented the already existing pressure on the contemporary manufacturing environment. Although the decentralization of supply chain has led to rapid advancements in manufacturing systems, finding an efficient supplier simultaneously from the pool of available ones as per customer requirement and enhancing the process planning and scheduling functions are the predominant approaches still needed to be addressed. Therefore, this paper aims to address this issue by considering a set of gear manufacturing ind

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Maldonado, Sebastián, Juan Pérez, Richard Weber, and Martine Labbé. "Feature selection for Support Vector Machines via Mixed Integer Linear Programming." Information Sciences 279 (September 2014): 163–75. http://dx.doi.org/10.1016/j.ins.2014.03.110.

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Alves, Maria João, and João Clı́maco. "A note on a decision support system for multiobjective integer and mixed-integer programming problems." European Journal of Operational Research 155, no. 1 (2004): 258–65. http://dx.doi.org/10.1016/s0377-2217(02)00887-1.

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Lee, In Gyu, Qianqian Zhang, Sang Won Yoon, and Daehan Won. "A mixed integer linear programming support vector machine for cost-effective feature selection." Knowledge-Based Systems 203 (September 2020): 106145. http://dx.doi.org/10.1016/j.knosys.2020.106145.

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KECECI, Baris, Tusan DERYA, Esra DINLER, and Yusuf Tansel IC. "A COMPARATIVE STUDY OF THE CAPABILITY OF ALTERNATIVE MIXED INTEGER PROGRAMMING FORMULATIONS." Technological and Economic Development of Economy 24, no. 2 (2017): 561–84. http://dx.doi.org/10.3846/20294913.2016.1213202.

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In selecting the best mixed integer linear programming (MILP) formulation the important issue is to figure out how to evaluate the performance of each candidate formulation in terms of selected criteria. The main objective of this study is to propose a systematic approach to guide the selection of the best MILP formulation among the alternatives according to the needs of the decision maker. For this reason we consider the problem of “selecting the most appropriate MILP formulation for a certain type of decision maker” as a multi-criteria decision making problem and present an integrated AHP-TO

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Claassen, G. D. H. "Mixed integer (0–1) fractional programming for decision support in paper production industry." Omega 43 (March 2014): 21–29. http://dx.doi.org/10.1016/j.omega.2013.05.008.

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Guerrero Campanur, Aaron, Elias Olivares-Benitez, Pablo A. Miranda, Rodolfo Eleazar Perez-Loaiza, and Jose Humberto Ablanedo-Rosas. "Design of a Logistics Nonlinear System for a Complex, Multiechelon, Supply Chain Network with Uncertain Demands." Complexity 2018 (November 12, 2018): 1–16. http://dx.doi.org/10.1155/2018/4139601.

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Industrial systems, such as logistics and supply chain networks, are complex systems because they comprise a big number of interconnected actors and significant nonlinear and stochastic features. This paper analyzes a distribution network design problem for a four-echelon supply chain. The problem is represented as an inventory-location model with uncertain demand and a continuous review inventory policy. The decision variables include location at the intermediate levels and product flows between echelons. The related safety and cyclic inventory levels can be computed from these decision varia

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Cheng, Lihong, Lei Feng, and Zhiwu Li. "Model abstraction for discrete-event systems by binary linear programming with applications to manufacturing systems." Science Progress 104, no. 3 (2021): 003685042110308. http://dx.doi.org/10.1177/00368504211030833.

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Model abstraction for finite state automata is helpful for decreasing computational complexity and improving comprehensibility for the verification and control synthesis of discrete-event systems (DES). Supremal quasi-congruence equivalence is an effective method for reducing the state space of DES and its effective algorithms based on graph theory have been developed. In this paper, a new method is proposed to convert the supremal quasi-congruence computation into a binary linear programming problem which can be solved by many powerful integer linear programming and satisfiability (SAT) solve

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Belotti, Pietro, Christian Kirches, Sven Leyffer, Jeff Linderoth, James Luedtke, and Ashutosh Mahajan. "Mixed-integer nonlinear optimization." Acta Numerica 22 (April 2, 2013): 1–131. http://dx.doi.org/10.1017/s0962492913000032.

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Many optimal decision problems in scientific, engineering, and public sector applications involve both discrete decisions and nonlinear system dynamics that affect the quality of the final design or plan. These decision problems lead to mixed-integer nonlinear programming (MINLP) problems that combine the combinatorial difficulty of optimizing over discrete variable sets with the challenges of handling nonlinear functions. We review models and applications of MINLP, and survey the state of the art in methods for solving this challenging class of problems.Most solution methods for MINLP apply s

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Lee, Somang, Youkyung Hong, and Youdan Kim. "Optimal scheduling algorithm in point merge system including holding pattern based on mixed-integer linear programming." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 234, no. 10 (2019): 1638–47. http://dx.doi.org/10.1177/0954410019830172.

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An optimal scheduling algorithm of the point merge system that considers a holding pattern is presented based on mixed-integer linear programming. The route structure of the point merge system is constructed by adopting virtual fixes, and appropriate constraints are included to integrate a holding pattern into the formulation of point merge system. The performance of the proposed point merge system holding algorithm is demonstrated by comparing with the point merge system and first-come first-served algorithms via Monte Carlo simulation. Simulation reveals that the point merge system holding a

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Cheng, S., C. W. Chan, and G. H. Huang. "An integrated multi-criteria decision analysis and inexact mixed integer linear programming approach for solid waste management." Engineering Applications of Artificial Intelligence 16, no. 5-6 (2003): 543–54. http://dx.doi.org/10.1016/s0952-1976(03)00069-1.

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Chen, Yan-Kwang, Fei-Rung Chiu, Yueh-Chuen Huang, and Chien-Hua Yeh. "Product image allocation and inventory control of online stores." Kybernetes 43, no. 7 (2014): 968–83. http://dx.doi.org/10.1108/k-11-2013-0256.

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Purpose – This study assumes image size and location, product substitution, and product supply to be factors influencing the purchase decision. Under such assumption, shelf-space allocation and inventory theories are integrated, and operating profit and cost of the online store under the supply policy that prevent stockouts are analyzed to develop an optimal model for inventory control and product image allocation. The paper aims to discuss these issues. Design/methodology/approach – The developed model takes both order cost and holding cost into account when calculating the total cost. As the

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da Silva, Joselma Maria, Djalma Silva Guimarães Júnior, and Carlos Henrique Michels de Sant’Anna. "Location Choice Model for distribution centers: for use in regional economic centers." Revista Gestão da Produção Operações e Sistemas 16, no. 1 (2021): 54–71. http://dx.doi.org/10.15675/gepros.v16i1.2418.

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Purpose - This paper aims to propose a location choice model to establish distribution centers using linear programming. Design/methodology/approach - Locational choice models allow decision makers to select between different possible locations, based on the best fit of established criteria. For this, a Mixed-Integer Linear Programming model (MILP) was proposed to identify the most efficient location for a distribution center in the region in the Mata Norte of the State of Pernambuco, Brazil. Findings - The MILP model allowed us to identify the factors that support transport cost minimization,

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Sitek, Paweł, and Jarosław Wikarek. "Optimization Model for Multimodal Transportation Networks Based on Supply Chain." Foundations of Management 4, no. 2 (2012): 77–96. http://dx.doi.org/10.2478/fman-2013-0012.

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Abstract The article presents the problem of supply chain optimization from the perspective of a multimodal logistics provider and includes a mathematical model of multilevel cost optimization in the form of MILP (Mixed Integer Linear Programming). The costs of production, transport, distribution and environmental protection were adopted as optimization criteria. Timing, volume, capacity and mode of transport were also taken into account. The model was implemented in the LINGO ver.12. The numerical experiments were carried out using sample data to show the possibilities of practical decision s

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Emidio, Juliana, Rafael Lima, Camila Leal, and Grasiele Madrona. "How can mixed integer linear programming assist dairy manufacturers by integrating supply decisions and production planning?" Journal of Agribusiness in Developing and Emerging Economies 11, no. 2 (2021): 178–93. http://dx.doi.org/10.1108/jadee-09-2020-0199.

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PurposeThe dairy industry needs to make important decisions regarding its supply chain. In a context with many available suppliers, deciding which of them will be part of the supply chain and deciding when to buy raw milk is key to the supply chain performance. This study aims to propose a mathematical model to support milk supply decisions. In addition to determining which producers should be chosen as suppliers, the model decides on a milk pickup schedule over a planning horizon. The model addresses production decisions, inventory, setup and the use of by-products generated in the raw milk p

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Huang, Y. Q., S. L. Nie, and H. Ji. "Identification of Contamination Control Strategy for Fluid Power System Using an Inexact Chance-Constrained Integer Program." Journal of Applied Mathematics 2014 (2014): 1–19. http://dx.doi.org/10.1155/2014/146413.

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An inexact chance-constrained integer programming (ICIP) method is developed for planning contamination control of fluid power system (FPS). The ICIP is derived by incorporating chance-constrained programming (CCP) within an interval mixed integer linear programming (IMILP) framework, such that uncertainties presented in terms of probability distributions and discrete intervals can be handled. It can also help examine the reliability of satisfying (or risk of violating) system constraints under uncertainty. The developed method is applied to a case of contamination control planning for one typ

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Ito, K., T. Shiba, R. Yokoyama, and S. Sakashita. "An Optimal Operational Advisory System for a Brewery’s Energy Supply Plant." Journal of Energy Resources Technology 116, no. 1 (1994): 65–71. http://dx.doi.org/10.1115/1.2906011.

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An optimal operational advisory system is proposed to operate rationally a brewery’s energy supply plant from the economical viewpoint. A mixed-integer linear programming problem is formulated so as to minimize the daily operational cost subject to constraints such as equipment performance characteristics, energy supply-demand relations, and some practical operational restrictions. This problem includes lots of unknown variables and a hierarchical approach is adopted to derive numerical solutions. The optimal solution obtained by this method is indicated to the plant operators so as to support

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Wang, Feng, Zhanmin Zhang, and Randy B. Machemehl. "Decision-Making Problem for Managing Pavement Maintenance and Rehabilitation Projects." Transportation Research Record: Journal of the Transportation Research Board 1853, no. 1 (2003): 21–28. http://dx.doi.org/10.3141/1853-03.

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A typical pavement management system (PMS) should help a decision maker select the best maintenance program—that is, which maintenance treatment to use and where and when to apply it—so that maximal use is made of available resources. To provide decision support, a PMS needs a process for setting maintenance and rehabilitation (M&R) priorities. The quality of the prioritization directly influences the effectiveness of available resources, which in most cases is the primary goal of the decision maker. A network-level project selection procedure that uses an operations research optimization

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Bettinelli, PhD, Andrea, Roberto Cordone, PhD, Federico Ficarelli, MSc, and Giovanni Righini, PhD. "Simulation and optimization models for emergency medical systems planning." Journal of Emergency Management 12, no. 4 (2016): 287. http://dx.doi.org/10.5055/jem.2014.0180.

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The authors address strategic planning problems for emergency medical systems (EMS). In particular, the three following critical decisions are considered: i) how many ambulances to deploy in a given territory at any given point in time, to meet the forecasted demand, yielding an appropriate response time; ii) when ambulances should be used for serving nonurgent requests and when they should better be kept idle for possible incoming urgent requests; iii) how to define an optimal mix of contracts for renting ambulances from private associations to meet the forecasted demand at minimum cost. In p

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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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23

Chang, Wenbing, Xinglong Yuan, Yalong Wu, Shenghan Zhou, Jingsong Lei, and Yiyong Xiao. "Decision-Making Method based on Mixed Integer Linear Programming and Rough Set: A Case Study of Diesel Engine Quality and Assembly Clearance Data." Sustainability 11, no. 3 (2019): 620. http://dx.doi.org/10.3390/su11030620.

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The purpose of this paper is to establish a decision-making system for assembly clearance parameters and machine quality level by analyzing the data of assembly clearance parameters of diesel engine. Accordingly, we present an extension of the rough set theory based on mixed-integer linear programming (MILP) for rough set-based classification (MILP-FRST). Traditional rough set theory has two shortcomings. First, it is sensitive to noise data, resulting in a low accuracy of decision systems based on rough sets. Second, in the classification problem based on rough sets, the attributes cannot be

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Wang, XQ, GH Huang, and QG Lin. "An interval mixed-integer non-linear programming model to support regional electric power systems planning with CO2 capture and storage under uncertainty." Environmental Systems Research 1, no. 1 (2012): 1. http://dx.doi.org/10.1186/2193-2697-1-1.

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CARDOEN, BRECHT, and ERIK DEMEULEMEESTER. "A DECISION SUPPORT SYSTEM FOR SURGERY SEQUENCING AT UZ LEUVEN'S DAY-CARE DEPARTMENT." International Journal of Information Technology & Decision Making 10, no. 03 (2011): 435–50. http://dx.doi.org/10.1142/s0219622011004397.

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In this paper, we test the applicability of a decision support system (DSS) that is developed to optimize the sequence of surgeries in the day-care center of the UZ Leuven Campus Gasthuisberg (Belgium). We introduce a multi-objective function in which children and prioritized patients are scheduled as early as possible on the day of surgery, recovery overtime is minimized, and recovery workload is leveled throughout the day. This combinatorial optimization problem is solved by applying a pre-processed mixed integer linear programming model. We report on a 10-day case study to illustrate the pe

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Gutierrez-Franco, Edgar, Andres Polo, Nicolas Clavijo-Buritica, and Luis Rabelo. "Multi-Objective Optimization to Support the Design of a Sustainable Supply Chain for the Generation of Biofuels from Forest Waste." Sustainability 13, no. 14 (2021): 7774. http://dx.doi.org/10.3390/su13147774.

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The production and supply chain management of biofuels from organic waste as raw material has been identified as a promising strategy in the field of renewable energies and circular economy initiatives. This industry involves complex tasks such as strategic land use, feedstock purchasing, production plant location, production capacity strategy, and material flows, which can be solved by mathematical modeling. The study proposed a multi-objective mixed-integer linear programming model to design a sustainable supply chain of biofuels with forest residues from its triple function: economic, envir

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Li, Yixuan, Xiaoxiang Yuan, Jie Zhu, Haiping Huang, and Min Wu. "Multiobjective Scheduling of Logistics UAVs Based on Variable Neighborhood Search." Applied Sciences 10, no. 10 (2020): 3575. http://dx.doi.org/10.3390/app10103575.

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This study focuses on the issue of logistics Unmanned Aerial Vehicle (UAV) distribution in urban environment and an automatic delivery system to support the delivery of packages. It can effectively integrate existing facilities and be easily deployed. There is a scheduling problem in this system with multiple UAVs and multiple flights. We manage to optimize the two objectives of customer satisfaction and total completion time. The scheduling problem is formulated to a Mixed Integer Linear Programming (MILP), and we propose a multiple objectives decision-making method. A special encoding method

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Papaleonidas, Christos, Dimitrios V. Lyridis, Alexios Papakostas, and Dimitris Antonis Konstantinidis. "An innovative decision support tool for liquefied natural gas supply chain planning." Maritime Business Review 5, no. 1 (2020): 121–36. http://dx.doi.org/10.1108/mabr-09-2019-0036.

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Purpose The purpose of this paper is to improve the tactical planning of the stakeholders of the midstream liquefied natural gas (LNG) supply chain, using an optimisation approach. The results can contribute to enhance the proactivity on significant investment decisions. Design/methodology/approach A decision support tool (DST) is proposed to minimise the operational cost of a fleet of vessels. Mixed integer linear programming (MILP) used to perform contract assignment combined with a genetic algorithm solution are the foundations of the DST. The aforementioned methods present a formulation of

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Yao, Fengjia, Bugra Alkan, Bilal Ahmad, and Robert Harrison. "Improving Just-in-Time Delivery Performance of IoT-Enabled Flexible Manufacturing Systems with AGV Based Material Transportation." Sensors 20, no. 21 (2020): 6333. http://dx.doi.org/10.3390/s20216333.

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Autonomous guided vehicles (AGVs) are driverless material handling systems used for transportation of pallets and line side supply of materials to provide flexibility and agility in shop-floor logistics. Scheduling of shop-floor logistics in such systems is a challenging task due to their complex nature associated with the multiple part types and alternate material transfer routings. This paper presents a decision support system capable of supporting shop-floor decision-making activities during the event of manufacturing disruptions by automatically adjusting both AGV and machine schedules in

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Ruiz-Meza, José, Karen Meza-Peralta, Jairo R. Montoya-Torres, and Jesus Gonzalez-Feliu. "Location of Urban Logistics Spaces (ULS) for Two-Echelon Distribution Systems." Axioms 10, no. 3 (2021): 214. http://dx.doi.org/10.3390/axioms10030214.

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The main concern in city logistics is the need to optimize the movement of goods in urban contexts, and to minimize the multiple costs inherent in logistics operations. Inspired by an application in a medium-sized city in Latin America, this paper develops a bi-objective mixed linear integer programming (MILP) model to locate different types of urban logistics spaces (ULS) for the configuration of a two-echelon urban distribution system. The objective functions seek to minimize the costs associated with distance traveled and relocation, in addition to the costs of violation of time windows. Th

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Wang, Hua, Jon Dieringer, Steve Guntz, et al. "Portfolio-Wide Optimization of Pharmaceutical R&D Activities Using Mathematical Programming." INFORMS Journal on Applied Analytics 51, no. 4 (2021): 262–79. http://dx.doi.org/10.1287/inte.2021.1074.

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The research and development (R&D) management in any major research pharmaceutical company is constantly faced with the need to make complicated activity scheduling and resource allocation decisions, as they carry out scientific work to develop new therapeutic products. This paper describes how we develop a decision support tool that allows practitioners to determine portfolio-wide optimal schedules in a systematic, quantitative, and largely automated fashion. Our tool is based on a novel mixed-integer linear optimization model that extends archetypal multimode resource-constrained project

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Hodencq, Sacha, Mathieu Brugeron, Jaume Fitó, Lou Morriet, Benoit Delinchant, and Frédéric Wurtz. "OMEGAlpes, an Open-Source Optimisation Model Generation Tool to Support Energy Stakeholders at District Scale." Energies 14, no. 18 (2021): 5928. http://dx.doi.org/10.3390/en14185928.

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Energy modelling is key in order to face the challenges of energy transition. There is a wide variety of modelling tools, depending on their purpose or study phase. This article summarises their main characteristics and highlights ones that are relevant when it comes to the preliminary design of energy studies at district scale. It introduces OMEGAlpes, a multi-carrier energy modelling tool to support stakeholders in the preliminary design of district-scale energy systems. OMEGAlpes is a Mixed-Integer Linear Programming (MILP) model generation tool for optimisation. It aims at making energy mo

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Gallego Pareja, Luis Alfonso, Jesus Maria Lopez Lezama, and Oscar Gomez Carmona. "Optimal Placement of Capacitors, Voltage Regulators, and Distributed Generators in Electric Power Distribution Systems." Ingeniería 25, no. 3 (2020): 334–54. http://dx.doi.org/10.14483/23448393.16925.

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Context: With the advent of the smart grid paradigm, electrical distribution network (EDN) operators are making efforts to modernize their power grids through the optimal implementation of distributed generators (DGs) and other devices such as capacitors (CAs) and voltage regulators (VRs). The optimal allocation of such devices is a challenging task involving discrete and integer decision variables. Method: This paper presents an approach for the optimal placement of CAs, VRs and DGs in EDNs. The distinctive feature of the proposed model is the fact that it can be used to optimize the allocati

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ABREU, CLAUDIO F., JERROLD H. MAY, WILLIAM E. SPANGLER, and LUIS G. VARGAS. "CONFLICT IDENTIFICATION AND RECONCILIATION IN A COLLABORATIVE MANUFACTURING SCHEDULING TASK." International Journal of Information Technology & Decision Making 07, no. 01 (2008): 147–74. http://dx.doi.org/10.1142/s0219622008002855.

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We studied the process of production scheduling in a large chemical plant. Scheduling in that environment is inherently a group process because multiple experts are needed to construct a schedule and to manage its execution. A mathematical formulation of the production scheduling problem yields a mixed-integer linear programming model too large to solve in a reasonable time with current technology. We therefore use an intelligent decision support system (DSS) to heuristically find a satisficing solution to the production scheduling problem. Our DSS is based on a model of the collaborative natu

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Li, Haolin, Yi Hu, Junyan Lyu, Hao Quan, Xiang Xu, and Chenxi Li. "Transportation Risk Control of Waste Disposal in the Healthcare System with Two-Echelon Waste Collection Network." Mathematical Problems in Engineering 2021 (April 9, 2021): 1–10. http://dx.doi.org/10.1155/2021/5580083.

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This paper investigates a vehicle routing problem arising in the waste collection of the healthcare system with the concern of transportation risk. Three types of facilities abstracted from the health system are investigated in this paper, namely, facilities with collection points, facilities without collection points, and small facilities. Two-echelon collection mode is applied in which the waste generated by small facilities is first collected by collection points, and then transferred to the recycling centre. To solve this problem, we propose a mixed-integer linear programming model conside

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Shi, Xiaowei, Zhiwei Chen, Mingyang Pei, and Xiaopeng Li. "Variable-Capacity Operations with Modular Transits for Shared-Use Corridors." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 9 (2020): 230–44. http://dx.doi.org/10.1177/0361198120928077.

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Since passenger demand in urban transit systems is asymmetrically distributed across different periods in a day and different geographic locations across the cities, the tradeoff between vehicle operating costs and service quality has been a persistent problem in transit operational design. The emerging modular vehicle technology offers us a new perspective to solve this problem. Based on this concept, we propose a variable-capacity operation approach with modular transits for shared-use corridors, in which both dispatch headway and vehicle capacity are decision variables. This problem is rigo

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Chraibi, Abdelahad, Said Kharraja, Ibrahim H. Osman, and Omar Elbeqqali. "A Multi-Agents System for Solving Facility Layout Problem: Application to Operating Theater." Journal of Intelligent Systems 28, no. 4 (2019): 601–19. http://dx.doi.org/10.1515/jisys-2017-0081.

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Abstract Facility layout problem (FLP) has a great impact on the efficiency of any organization. It is concerned with defining the optimal location for each facility in order to optimize the supply chain productivity. In this kind of problems, the choice of resolution approach depends on the complexity and the size of the problem. Operating theaters are generally big structures containing a lot of facilities, which makes the conception of their layout a complex problem. In the literature, exact methods are powerless when faced with problem sizes up to 18 facilities. This leads us to explore ot

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Roohnavazfar, Mina, Daniele Manerba, Lohic Fotio Tiotsop, Seyed Hamid Reza Pasandideh, and Roberto Tadei. "Stochastic single machine scheduling problem as a multi-stage dynamic random decision process." Computational Management Science 18, no. 3 (2021): 267–97. http://dx.doi.org/10.1007/s10287-020-00386-1.

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AbstractIn this work, we study a stochastic single machine scheduling problem in which the features of learning effect on processing times, sequence-dependent setup times, and machine configuration selection are considered simultaneously. More precisely, the machine works under a set of configurations and requires stochastic sequence-dependent setup times to switch from one configuration to another. Also, the stochastic processing time of a job is a function of its position and the machine configuration. The objective is to find the sequence of jobs and choose a configuration to process each j

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Delgoshaei, Aidin, and Ahad Ali. "A Hybrid Ant Colony Optimization and Simulated Annealing Algorithm for Multi-Objective Scheduling of Cellular Manufacturing Systems." International Journal of Applied Metaheuristic Computing 11, no. 3 (2020): 1–40. http://dx.doi.org/10.4018/ijamc.2020070101.

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During the last 2 decades, there have been many manufacturing companies in various industries that used the advantages of cellular manufacturing layouts. However, determining the best schedule for cellular layouts considering uncertain product demands is a big concern for scientists. In this research, a multi-objective decision-making model is proposed in the process of dynamic cellular production planning where the market demands are uncertain. In this regard, a non-linear mixed integer programming model is developed. The complexity of the model is high to consider the model as NP-hard. There

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Kovač, Nataša, Tatjana Davidović, and Zorica Stanimirović. "Population-based Metaheuristics for the Dynamic Minimum Cost Hybrid Berth Allocation Problem." International Journal on Artificial Intelligence Tools 30, no. 04 (2021): 2150017. http://dx.doi.org/10.1142/s0218213021500172.

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This study considers the Dynamic Minimum Cost Hybrid Berth Allocation Problem (DMCHBAP) with fixed handling times of vessels. The objective function to be minimized consists of three components: costs of positioning, waiting, and tardiness of completion for all vessels. A mathematical formulation of DMCHBAP, based on Mixed Integer Linear Programming (MILP), is proposed and used within the framework of commercial CPLEX 12.3 solver. As the speed of finding high-quality solutions is of crucial importance for an efficient and reliable decision support system in container terminal, two population-b

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Aboagye, Emmanuel A., Sean M. Burnham, James Dailey, et al. "Systematic Design, Optimization, and Sustainability Assessment for Generation of Efficient Wastewater Treatment Networks." Water 13, no. 9 (2021): 1326. http://dx.doi.org/10.3390/w13091326.

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Due to population growth and economic development, there has been an increase in global wastewater (WW) generation footprint. There are different technologies associated with the wastewater treatment (WWT) process. The challenge is to select technologies that minimize the cost of treatment, as well as meet purity requirements. Further, there is a need to integrate sustainability analysis to facilitate a holistic decision. With the application of systems engineering, sustainable and cost-effective solutions can be achieved. In this work, we apply systems engineering to generate a sustainable an

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Zhao, R., G. H. Qin, H. P. Chen, J. Qin, and J. Yan. "Security-Aware Scheduling for FlexRay-Based Real-Time Automotive Systems." Mathematical Problems in Engineering 2019 (June 13, 2019): 1–17. http://dx.doi.org/10.1155/2019/4130756.

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FlexRay is a hybrid communication protocol tailored to the requirements of safety-critical distributed real-time automotive systems, providing support for the transmission of time-critical periodic frames in a static segment and event-triggered frames in a dynamic segment. With the development of intelligence and networking of vehicles, such systems are becoming increasingly connected to external environments; thus, security has become a pressing issue in system design. However, FlexRay-based architecture does not have direct support for secure communication. When deploying the security mechan

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Ballouki, Imane, Mohammed Douimi, and Latifa Ouzizi. "Decision Support Tool for Supply Chain Configuration Considering New Product Re-Design: An Agent-Based Approach." Journal of Advanced Manufacturing Systems 16, no. 04 (2017): 291–315. http://dx.doi.org/10.1142/s0219686717500184.

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In the decline phase of product lifecycle, industrials need to re-design their products to introduce new functions and/or customers’ new preferences. These changes may not only affect the product’s bill of material, but also its supply chain network. Consequently, new supply chain costs are generated. This paper addresses the problem of supply chain configuration considering new product re-design using a multi-agent system (MAS). The objective of the system is to ensure good collaboration between two different points of view, supply chain partners and product designers, to make better decision

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Servare Junior, Marcos Wagner Jesus, Helder Roberto de Oliveira Rocha, José Leandro Félix Salles, and Sylvain Perron. "A Linear Relaxation-Based Heuristic for Iron Ore Stockyard Energy Planning." Energies 13, no. 19 (2020): 5232. http://dx.doi.org/10.3390/en13195232.

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Planning the use of electrical energy in a bulk stockyard is a strategic issue due to its impact on efficiency and responsiveness of these systems. Empirical planning becomes more complex when the energy cost changes over time. The mathematical models currently studied in the literature consider many actors involved, such as equipment, sources, blends, and flows. Each paper presents different combinations of actors, creating their own transportation flows, thus increasing the complexity of this problem. In this work, we propose a new mixed integer linear programming (MILP) model for stockyard

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Osorio-Mora, Alan, Francisco Núñez-Cerda, Gustavo Gatica, and Rodrigo Linfati. "Multimodal Capacitated Hub Location Problems with Multi-Commodities: An Application in Freight Transport." Journal of Advanced Transportation 2020 (January 20, 2020): 1–9. http://dx.doi.org/10.1155/2020/2431763.

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Hub location problems (HLPs) support decision making on multimodal transport strategic planning. It is related to the location of hubs and the allocation of origin/destination (O/D) flow in a system. Classical formulations assume that these flows are predefined paths and direct delivery is not available. This applied research presents a mixed integer linear programming (MILP) model for a capacitated multimodal, multi-commodity HLP. Furthermore, an application on the export process in a Latin American country is detailed. The new proposed model, unlike the traditional HLP, allows direct shipmen

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Chen, Yu-Tung, Cheng-Chien Kuo, and Jia-Zhang Jhan. "Research on Energy Storage Optimization Operation Schedule in an Island System." Applied Sciences 11, no. 8 (2021): 3690. http://dx.doi.org/10.3390/app11083690.

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This paper proposes a 24-h ahead unit commitment for a diesel-photovoltaic (PV)-battery system using mixed-integer linear programming (MILP) to minimize the operating cost which includes the power storage system (PSS) in the reserve capacity. Considering the Kinmen island’s winter peak load case of 20 MW, and summer peak load case of 60 MW, a 24-h schedule for the diesel-PV-battery system island system for these two scenarios was optimized that allows the PSS to perform both as an additional reserve capacity and peak-shaving auxiliary device. The results show that the addition of PSS in the di

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Ko, Woong, Jaeho Lee, and Jinho Kim. "The Effect of a Renewable Energy Certificate Incentive on Mitigating Wind Power Fluctuations: A Case Study of Jeju Island." Applied Sciences 9, no. 8 (2019): 1647. http://dx.doi.org/10.3390/app9081647.

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As renewable energy penetration in power systems grows, adequate energy policies are needed to support the system’s operations with flexible resources and to adopt more sustainable energies. A peak-biased incentive for energy storage systems (ESS) using the Korean renewable portfolio standard could make power system operations more difficult. For the first time in the research, this study evaluates the effect of imposing a renewable energy certificate incentive in off-peak periods on mitigating wind power fluctuations. We design a coordinated model of a wind farm with an ESS to model the behav

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Badri-Koohi, B., R. Tavakkoli-Moghaddam, and M. Asghari. "Optimizing Number and Locations of Alternative-Fuel Stations Using a Multi-Criteria Approach." Engineering, Technology & Applied Science Research 9, no. 1 (2019): 3715–20. http://dx.doi.org/10.48084/etasr.2474.

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The transition to alternative fuels is obligatory due to the finite amount of available fossil fuels and their rising prices. However, the transition cannot be done unless enough infrastructure exists. A very important infrastructure is the fueling station. As establishing alternative-fuel stations is expensive, the problem of finding the optimal number and locations of initial alternative-fuel stations emerges and it is investigated in this paper. A mixed-integer linear programming (MILP) formulation is proposed to minimize the costs using net present value (NPV) technique. The proposed formu

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Brito, Robison Cris, Cesar Augusto Tacla, and Lúcia Valéria Ramos de Arruda. "A multiagent simulator for supporting logistic decisions of unloading petroleum ships in habors." Pesquisa Operacional 30, no. 3 (2010): 729–50. http://dx.doi.org/10.1590/s0101-74382010000300012.

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This work presents and evaluates the performance of a simulation model based on multiagent system technology in order to support logistic decisions in a harbor from oil supply chain. The main decisions are concerned to pier allocation, oil discharge, storage tanks management and refinery supply by a pipeline. The real elements as ships, piers, pipelines, and refineries are modeled as agents, and they negotiate by auctions to move oil in this system. The simulation results are compared with results obtained with an optimization mathematical model based on mixed integer linear programming (MILP)

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de Brito, Irineu, Silvia Uneddu, Emma Maspero, and Paulo Gonçalves. "Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast." Logistics 4, no. 3 (2020): 18. http://dx.doi.org/10.3390/logistics4030018.

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This research supports the United Nations Children’s Fund’s (UNICEF) conceptualization, planning and implementation of a campaign for distribution of more than 12 million mosquito nets in Ivory Coast. Procured from four different suppliers in Asia, the nets were transported to the two ports in Ivory Coast before being pre-positioned at 71 Health Districts across the country, a mixed integer network flow model identifies optimal transport options. The process of modeling and the model developed in this paper brought a significant understanding of the problem and, consequently, a reduction in th

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