DSS approach for sustainable system design of shuttle-based storage and retrieval systems

Yanyan Wang (), Jinning Qin (), Shandong Mou (), Ke Huang () and Xiaofeng Zhao ()
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Yanyan Wang: Shenzhen Research Institute, Shandong University
Jinning Qin: Shandong University
Shandong Mou: Central University of Finance and Economics
Ke Huang: Shandong University
Xiaofeng Zhao: Shandong University

Flexible Services and Manufacturing Journal, 2023, vol. 35, issue 3, No 4, 698-726

Abstract: Abstract Automated warehousing systems need to balance operational efficiency, energy consumption and overall system cost in sustainable supply chains. This paper presents an analytical model-based Decision Support System (DSS) for sustainable system design of Shuttle-Based Storage and Retrieval System (SBS/RS). Multiple system design indicators, namely mean service time, mean energy consumption, and overall system cost, are considered in a mathematical model. A simulation model is developed to validate the accuracy of the mathematical model. Extensive numerical experiments explore the impacts of rack design and equipment operating parameters on various system performance indicators and summarize balanced equipment operating settings. Overall, this study provides an analytical-model based DSS on sustainable SBS/RS configurations for decision-making managers and system designers.

Keywords: Shuttle-based storage and retrieval systems; Energy saving; Sustainable system design; Decision support system (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10696-022-09447-w

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