Robust Metaheuristics for Scheduling Cellular Flowshop with Family Sequence-Dependent Setup Times

We review the literature about shop scheduling problems in manufacturing systems, revealing the concepts and methodologies that most impact the usage of scheduling theory in manufacturing environments. We focus our attention on the job shop and flow shop problems and their variants. We emphasize the interactions between the scheduling functions and manufacturing paradigms such as Industry 4.0, Computer Integrated Manufacturing, Computer‐Aided Process Planning, Advanced Planning and Scheduling, and Integrated Process Planning and Scheduling. We describe the main components and characteristics of the scheduling ecosystem, and we discuss how the scheduling interacts with the components that make it up and how it is affected by them. The metadata collected from the digital libraries on which the review was based (ScienceDirect, Scopus, and Elsevier) made it possible to characterize the historical evolution of the main concepts of the scheduling ecosystem in terms of scientific publications and research trends in the period 2000–2020.

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“…(2014), Behnamian (2014), Ibrahem et al. (2014), Vanchipura et al. (2014), Rossi (2014), and Abdelmaguid (2015).…”

Section: An Overview Of Shop Scheduling Problems Characteristicsmentioning

confidence: 97%

Shop scheduling in manufacturing environments: a review

Márquez

Ribeiro

2022

Int Trans Operational Res

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“…• Solution techniques: The proposal of exact (Gelogullari and Logendran, 2010;Gupta and Schaller, 2006;Hamed Hendizadeh et al, 2007;Keshavarz et al, 2019Keshavarz et al, , 2014Lin and Ying, 2019;Naderi and Salmasi, 2012;Salmasi et al, 2010;Schaller, 2005;Schaller et al, 2000;Yazdani Sabouni and Logendran, 2018), heuristic (França et al, 2005;Gupta and Schaller, 2006;Neufeld et al, 2015;Qin et al, 2016;Salmasi et al, 2010;Schaller et al, 2000), and metaheuristic algorithms (França et al, 2005;Hamed Hendizadeh et al, 2008;Ibrahem et al, 2014;Lin et al, 2009b;Ying et al, 2012Ying et al, , 2010 are frequent for solving the problem. Additionally, the development of hybrid algorithms, i.e.…”

Section: Flowshop Group Scheduling Approachesmentioning

confidence: 99%

A conceptual framework for integrating Facility Layout and Production Scheduling in Flowshop Manufacturing Cells decisions

Cáceres-Gelvez

Serna

Zapata-Cortés

2022

reveia

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Objective: In this paper, a conceptual framework for integrating production scheduling in flowshop manufacturing cells, known as flowshop group scheduling (FSGSP), and unequal-area facility layout (UAFLP) decisions is proposed. Materials and Methods: First, a brief literature review is carried out to identify the elements, solution techniques and complementary decisions for the UAFLP, FSGSP and layout-scheduling approaches. Results: Based on the results of the literature review a 4-phase integrative model is proposed to integrate these decisions, based on a lean manufacturing environment. The phases include the input data collection and preparation process, the definition of the UAFLP, FSGSP and other complementary decisions, the optimization of the decisions, and the selection of the best alternative. Conclusions: The integration of these decisions using the proposed framework can achieve benefits related to the reduction of mudas, such as material handling, high work-in-process inventory levels and setup times for real, industrial contexts.

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