A multi-agent approach to the integrated production scheduling and distribution problem in multi-factory supply chain

Gharaei, Ali; Jolai, Fariborz

doi:10.1016/j.asoc.2018.02.002

Cited by 68 publications

(24 citation statements)

References 31 publications

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“…Nemati & Alavidoost developed three bi-objective f-MILP models for sales and operational planning to minimize the total SC cost and maximize the customer service level [6]. Jolai & Gharaei proposed a multi-agent scheduling problem with distribution decisions in a multi-factory supply chain by using a multi-objective integer programming model based on decomposition with Bees algorithm (MOEA/D-BA) to achieve the Pareto solution, in order to minimize the tardiness of jobs while minimizing the total cost [7]. Leung et al employed an integrated production and delivery model with single and multiple vehicles by using a multi-objective mathematical model of PD-NSGA-II algorithm to improve the performance of scheduling and evaluating in pull supply chain [8].…”

Section: Literature Reviewmentioning

confidence: 99%

Investigation of Bottlenecks in Supply Chain System for Minimizing Total Cost by Integrating Manufacturing Modelling Based on MINLP Approach

Hajmirfattahtabrizi

Song

2019

Applied Sciences

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In recent years, due to high pressure of expenses on supply chain systems and members, the decision makers in these situations are seeking to create policy and strategies to minimize the total cost for their supply chain process with low target price and future demands. Regarding this crucial issue, their studies on the implementation of supply chain issues and bottlenecks have observed the enormous and direct impact on company’s financial performance and improve it systemically. In this paper, a well-known mixed integer nonlinear programming by multi-objective function is proposed to decide on reliable results for supply, production, and distribution system problems. The proposed mixed integer nonlinear programming model for multi-objective supply, production, and distribution problems is used to minimize the total cost for incurred sections and terms by decision makers. The obtained optimum solution and result are fulfilled by investigators and producers for planning how to adjust the investment and gain more accurate performances and implementations. Numerical results in plots and throughputs from MATLAB, using MINLP, showed that integrating the supply chain and mitigating the bottlenecks led to improve the system and decrease the total cost approximately (19.73%), while running without negative effects of supply chain disturbances on total cost.

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Section: Literature Reviewmentioning

confidence: 99%

Investigation of Bottlenecks in Supply Chain System for Minimizing Total Cost by Integrating Manufacturing Modelling Based on MINLP Approach

Hajmirfattahtabrizi

Song

2019

Applied Sciences

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“…Several optimization techniques are used in ISCS problems. Mathematical programming, especially Integer / Mixed Integer Programming has become one of the most commonly applied approach in ISCS problems due to its sensitivity, flexibility and widespread modeling capability (Devapriya, 2008;Ullrich, 2013;Viergutz and Knust, 2014;Pei et al, 2014;Kang et al, 2016;Karaoğlan and Erhan, 2017;Gharaei and Jolai, 2018). The two most important enumerative methods: (i) Dynamic Programming (DP), (ii) Branch and Bound (abbreviated further on as B&B), Branch and Cut (B&C) are commonly used to solve especially small sized ISCS problems.…”

Section: Modeling Methods and Solution Approachesmentioning

confidence: 99%

Bütünleşi̇k Tedari̇k Zi̇nci̇ri̇ Çi̇zelgeleme Modelleri̇: Bi̇r Li̇teratür Taramasi

Ceylan¹,

Bulkan²,

Tozan³

2019

Mühendislik Bilimleri Ve Tasarım Dergisi

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Research on integration of supply chain and scheduling is relatively recent, and number of studies on this topic is increasing. This study provides a comprehensive literature survey about Integrated Supply Chain Scheduling (ISCS) models to help identify deficiencies in this area. For this purpose, it is thought that this study will contribute in terms of guiding researchers working in this field. In this study, existing literature on ISCS problems are reviewed and summarized by introducing the new classification scheme. The studies were categorized by considering the features such as the number of customers (single or multiple), product lifespan (limited or unlimited), order sizes (equal or general), vehicle characteristics (limited/sufficient and homogeneous/heterogeneous), machine configurations and number of objective function (single or multi objective). In addition, properties of mathematical models applied for problems and solution approaches are also discussed.

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“…[10] This paper first of all proposes an effective and green hybrid differential evolution set of rules (HDE) based at the differential evolution algorithm (DE) and genetic algorithm (GA) that may clear up this NP-difficult hassle in a strong and unique way. [11] After determining the suitable parameters of the HDE by way of parameters tuning take a look at, the effectiveness and efficiency of the HDE are proven by way of benchmark features and numerical examples. They compare the HDE with the available highquality technique and find that the HDE can constantly acquire the marginally decrease general prices underneath a few situations.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of Mathematical Supply Chain Model for Challenges in E-Commerce Distribution

2019

IJRTE

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Recent supply chain faces numerous issues while addressing factors related to online markets, such as fast and secured deliveries to the customers. Even most of the Ecommerce businesses have their own logistics and warehousing network, the real time challenges may occur with respect to routing, inventory and fast delivery to the customer in this internet era. This work addresses the issue in supply chain for E-commerce by developing a suitable mathematical model and applying with real time working conditions which tends to give a suitable solution for the problem.

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A multi-agent approach to the integrated production scheduling and distribution problem in multi-factory supply chain

Cited by 68 publications

References 31 publications

Investigation of Bottlenecks in Supply Chain System for Minimizing Total Cost by Integrating Manufacturing Modelling Based on MINLP Approach

Investigation of Bottlenecks in Supply Chain System for Minimizing Total Cost by Integrating Manufacturing Modelling Based on MINLP Approach

Bütünleşi̇k Tedari̇k Zi̇nci̇ri̇ Çi̇zelgeleme Modelleri̇: Bi̇r Li̇teratür Taramasi

Development of Mathematical Supply Chain Model for Challenges in E-Commerce Distribution

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