Population Based Stochastic Technique for Optimum Design of Open Field Layout with Integrated Scheduling

Mallikarjuna, K.; Babu, K.Sateesh

doi:10.1109/icccnt.2018.8494049

Cited by 1 publication

(1 citation statement)

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“…(Kazemi et al, 2012) proposed a multi-objective decision-making model and genetic algorithms for optimizing the integrated problem. Other authors have approached the integration of the traditional versions of the problems (Mallikarjuna and Babu, 2018;Ranjbar and Razavi, 2012), however, no author have proposed a systematic integration between unequal-area facility layout and production scheduling decisions in CMS.…”

Section: Introductionmentioning

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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Section: Introductionmentioning

confidence: 99%