Optimal Dynamic Production Planning for Supply Network with Random External and Internal Demands DOI Creative Commons
Chengyue Hu,

Junsong Bian,

Daozhi Zhao

и другие.

Mathematics, Год журнала: 2024, Номер 12(17), С. 2669 - 2669

Опубликована: Авг. 27, 2024

This paper focuses on joint production/inventory optimization in single and multiple horizons, respectively, within a complicated supply network (CSN) consisting of firm nodes with coupled demands demands. We first formulate the single-epoch optimal output model by allowing production extra quantity for stock underage, considering fixed costs incurred having inventory over demand shortfalls. Then, multi-temporal dynamic is further investigated to deal stochastic fluctuations among CSN constructing input–output model. The K-convexity defined Rn space proved obtain control strategy. According physical flow links, all associated are categorized into inter-node inside (intermediate demand) external outside (final demand). exploit meliorated matrix describe relations, building models where fluctuates randomly single-cycle finite multi-cycle CSN. novel monocyclic multicyclic have been developed minimize system-wide operational costs. Unlike existent literature, we consider overdemand underdemand system cost functions then demonstrate convexity objective functions. function two penalty due excess shortage multicycle model, find out strategy CSNs case multi-products multicycles.

Язык: Английский

A Smart and Agile Dry Port-Seaport Logistic Network Considering Industry 5.0: A Multi-stage Data-driven Approach DOI
Shabnam Rekabi, Zeinab Sazvar

Socio-Economic Planning Sciences, Год журнала: 2025, Номер unknown, С. 102141 - 102141

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
IoT and Its Role in Sustainable Pharmaceutical Supply Chains DOI
Muhammad Aslam

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
A Weighted and Epsilon-Constraint Biased-Randomized Algorithm for the Biobjective TOP with Prioritized Nodes DOI Creative Commons
Lucía Agud Albesa, Neus Garrido, Àngel A. Juan

и другие.

Computation, Год журнала: 2024, Номер 12(4), С. 84 - 84

Опубликована: Апрель 20, 2024

This paper addresses a multiobjective version of the Team Orienteering Problem (TOP). The TOP focuses on selecting subset customers for maximum rewards while considering time and fleet size constraints. study extends by two objectives: maximizing total from customer visits to prioritized nodes. MultiObjective (MO-TOP) is formulated mathematically concurrently tackle these objectives. A multistart biased-randomized algorithm proposed solve MO-TOP, integrating exploration exploitation techniques. employs constructive heuristic defining biefficiency select edges routing plans. Through iterative various starting points, converges high-quality solutions. Pareto frontier MO-TOP generated using weighted method, epsilon-constraint Epsilon-Modified Method. Computational experiments validate approach’s effectiveness, illustrating its ability generate diverse solutions frontier. algorithms demonstrate optimize prioritize node visits, offering valuable insights real-world decision making in team orienteering applications.

Язык: Английский

Процитировано

0
An Inventory Service-Level Optimization Problem for a Multi-Warehouse Supply Chain Network with Stochastic Demands DOI Creative Commons
Roberto León, Pablo A. Miranda, Francisco J. Tapia-Ubeda

и другие.

Mathematics, Год журнала: 2024, Номер 12(16), С. 2544 - 2544

Опубликована: Авг. 17, 2024

This research aims to develop a mathematical model and solution approach for jointly optimizing global inventory service level order sizes single-commodity supply chain network with multiple warehouses or distribution centers. The latter face stochastic demands, such as most real-world chains do nowadays, yielding significant complexity. studied problem is of high relevance management, location, design-related literature, well logistics managers. proposed optimization minimizes the total costs associated cycle inventory, safety stock, stock-out-related events, considering differentiated fixed known set warehouses. Subsequently, solved by employing Newton–Raphson algorithm, which developed implemented assuming demands normal approximation. algorithm reached optimality conditions convergence criterion in few iterations, within less than second, variety sized instances involving up 200 solutions are contrasted those obtained previous widely employed approximation, where stock were further approximated optimized without costs. comparison denotes valuable benefits additional computational efforts. Thus, suitable managers chains, since they would be able attain system performance improvements simultaneously sizes, thereby providing better cost equilibrium.

Язык: Английский

Процитировано

0
Optimal Dynamic Production Planning for Supply Network with Random External and Internal Demands DOI Creative Commons
Chengyue Hu,

Junsong Bian,

Daozhi Zhao

и другие.

Mathematics, Год журнала: 2024, Номер 12(17), С. 2669 - 2669

Опубликована: Авг. 27, 2024

This paper focuses on joint production/inventory optimization in single and multiple horizons, respectively, within a complicated supply network (CSN) consisting of firm nodes with coupled demands demands. We first formulate the single-epoch optimal output model by allowing production extra quantity for stock underage, considering fixed costs incurred having inventory over demand shortfalls. Then, multi-temporal dynamic is further investigated to deal stochastic fluctuations among CSN constructing input–output model. The K-convexity defined Rn space proved obtain control strategy. According physical flow links, all associated are categorized into inter-node inside (intermediate demand) external outside (final demand). exploit meliorated matrix describe relations, building models where fluctuates randomly single-cycle finite multi-cycle CSN. novel monocyclic multicyclic have been developed minimize system-wide operational costs. Unlike existent literature, we consider overdemand underdemand system cost functions then demonstrate convexity objective functions. function two penalty due excess shortage multicycle model, find out strategy CSNs case multi-products multicycles.

Язык: Английский

Процитировано

0