A robust just-in-time flow shop scheduling problem with outsourcing option on subcontractors

Goli, Alireza; Tirkolaee, Erfan Babaee; Soltani, Mehdi

doi:10.1080/21693277.2019.1620651

Cited by 32 publications

(21 citation statements)

References 26 publications

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“…Golpîra and Tirkolaee [35] introduced an original concept entitled "stable maintenance tasks scheduling," which incorporated robust optimization concept into the maintenance and repair tasks scheduling problem. Goli et al [36] addressed a novel robust flow shop scheduling problem with outsourcing option where jobs could be either scheduled for inside or outsourced to one of the available subcontractors. Capacity limitation for inside resource, just-in-time delivery policy, and uncertain processing time were the key assumptions of the proposed model.…”

Section: Literature Reviewmentioning

confidence: 99%

“…e processing process is uninterrupted. Each wafer can restart processing [36] CPLEX Minimize the total-weighted time and the total costs of outsourcing Figure 1 shows the schematic diagram of TSGMM-SW problem. Semiconductor wafer fabrication factories cannot keep machines in working state all the time; jobs to be processed have to wait for the process of the previous operation to be completed or the selected machine to be idle.…”

Section: Problem Description and Model Establishmentmentioning

confidence: 99%

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Research on Two-Stage Joint Optimization Problem of Green Manufacturing and Maintenance for Semiconductor Wafer

Dong

2020

Mathematical Problems in Engineering

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This paper proposes a two-stage joint optimization problem of green manufacturing and maintenance for semiconductor wafer (TSGMM-SW) considering manufacturing stage, inspection, and repair stage simultaneously, which is a typical NP-hard problem with practical research significance and value. Aiming at this problem, a green scheduling model with the objective of minimizing makespan, total carbon emissions, and total preventive maintenance (PM) costs is constructed, and an improved hybrid multiobjective multiverse optimization (IHMMVO) algorithm is proposed in this paper. The joint optimization of green manufacturing and maintenance is realized by designing synchronous scheduling and maintenance strategy for wafer manufacturing and equipment PM. The diversity of the population is expanded and the optimization performance of IHMMVO is improved by designing the initial population fusion strategy and subpopulation evolution strategy. In the experimental phase, we perform the simulation experiments of 900 test cases randomly generated from 90 parameter combinations. The IHMMVO algorithm is compared with other existing algorithms to verify the effectiveness and feasibility for TSGMM-SW.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Problem Description and Model Establishmentmentioning

confidence: 99%

Research on Two-Stage Joint Optimization Problem of Green Manufacturing and Maintenance for Semiconductor Wafer

Dong

2020

Mathematical Problems in Engineering

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“…Robust optimization approach has been studied by many researchers as an effective method to overcome the real‐world instability . This technique can efficiently control the uncertainty level and yield feasible solutions with a high probability …”

Section: Problem Definitionmentioning

confidence: 99%

“…Robust optimization approach has been studied by many researchers as an effective method to overcome the real-world instability. [37][38][39][40][41][42][43][44] This technique can efficiently control the uncertainty level and yield feasible solutions with a high probability. 45 For a brief description, the robust optimization approach suggested by Bertsimas and Sim 45 is presented as follows.…”

Section: Robust Modelmentioning

confidence: 99%

A robust green traffic‐based routing problem for perishable products distribution

Tirkolaee

Hadian

Weber

et al. 2019

Computational Intelligence

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Nowadays, transportation and logistics are considered as the drivers of economic development in the countries due to their impacts on the main variables of the country's economy such as production, employment, price, and the cost of living. Statistics indicate that fuel consumption constructs a major part of transportation costs, where its optimization leads to the creation of an energy‐efficient and sustainable transportation system. On the other hand, vehicles' traffic is also one of the main criteria affecting the travel time of vehicles between demand nodes in a supply chain, increasing fuel consumption, and, consequently, damaging effects of greenhouse gasses. In this paper, a novel robust mixed‐integer linear programming model is developed for a green vehicle routing problem with intermediate depots considering different urban traffic conditions, fuel consumption, time windows of services, and uncertain demand for perishable products. To validate and solve the suggested model, CPLEX solver of GAMS software is employed as an exact method. Finally, a case study problem is investigated to evaluate the applicability of the proposed model and determine the optimal managerial insights and policies in the real‐world conditions using sensitivity analyses. Moreover, a novel robustness threshold comparison is conducted to find the optimal level of budget assignment.

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“…These systems broadly appear in automatic manufacturing systems. As manufacturers implement more intricate robotic cells, more complex models and algorithms are needed to optimize the operations of these cells [9].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Gilmore and Gomory algorithm: Application in robotic flow shops with the effects of job-dependent transportation and set-ups

2021

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This paper addresses the scheduling of robotic cells with job-dependent transportation and set-up effects with fuzzy methodology. Since transportation and set-up times are a large portion of the production time in a flexible manufacturing cell, ignoring these parameters may cause significant errors in determining the optimal makespan. Furthermore, determining the exact values of these time parameters is a challenging task. To overcome this problem, we represent these parameters using fuzzy L-R numbers. Using the capability of fuzzy numbers to model approximate values, we can represent these parameters without losing valuable information. For generating the optimal part sequencing in the cells, the Gilmore and Gomory algorithm is modified, and instead, a fuzzy Gilmore and Gomory algorithm is developed. We compare the results of the proposed fuzzy method with those of crisp ones. The results indicate the superiority of the proposed algorithm in terms of robustness, flexibility, and reduction of makespan.

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A robust just-in-time flow shop scheduling problem with outsourcing option on subcontractors

Cited by 32 publications

References 26 publications

Research on Two-Stage Joint Optimization Problem of Green Manufacturing and Maintenance for Semiconductor Wafer

Research on Two-Stage Joint Optimization Problem of Green Manufacturing and Maintenance for Semiconductor Wafer

A robust green traffic‐based routing problem for perishable products distribution

Fuzzy Gilmore and Gomory algorithm: Application in robotic flow shops with the effects of job-dependent transportation and set-ups

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