A comprehensive review of batching problems in low-level picker-to-parts systems with order due dates: Main gaps, trade-offs, and prospects for future research. (October 2022)

• Record Type: Journal Article
• Authors: Pinto, Anderson Rogério Faia; Nagano, Marcelo Seido
• Is Part Of: Journal of manufacturing systems. Volume 65(2022)
• Page Start: 1
• Page End: 18
• Publication Date: 2022-10
• Subjects: Order picking -- Picking systems -- Warehouse management -- Picking optimization methods -- Joint order batching, assignment and sequencing, and routing problem; Manufacturing processes -- Periodicals; Production engineering -- Data processing -- Periodicals; Robots, Industrial -- Periodicals; Production, Technique de la -- Informatique -- Périodiques; Robots industriels -- Périodiques; Electronic journals; 670.42
• DOI: 10.1016/j.jmsy.2022.08.006
• Languages: English
• ISSNs: 0278-6125

Abstract

Abstract: Literature has shown expressive demands for Picking Optimization Methods (POMs) that are better suited to the manual picking systems and Warehouses (WAs). There are still many gaps and trade-offs between the level of customer service and the WA efficiency for the so-called Joint Order Batching, Assignment and Sequencing, and Routing Problem (JOBASRP). Thus, the objective of this manuscript is to provide a literature review on the POMs proposed for the JOBASRP in WAs that deal with low-level picker-to-parts systems together with the order due dates and Stock Keeping Units . In the total of analyzed manuscripts (from 1960 to 2021), metaheuristics together with constructive heuristics obtained the best solutions for the JOBASRP. The most used technique is the Genetic Algorithm (50 %), followed by the Variable Neighborhood Search (40 %) and Iterated Local Search (10 %). The main performance indicators are Total Picking Time, Tardiness in Customer Orders and Computational Processing Time for POMs. In addition, we present a reflection focused on the main gaps, trade-offs, and prospects for improving the level of adaptation and performance demanded for the POMs. This manuscript provides eminent contributions to WAs management theory and practice and to the application of the so-called POMs. The theoretical framework presented summarizes the state of the art, defining the basic guidelines regarding new research opportunities, and supporting managers, students, and researchers in the optimization processes and decision making in WAs. We conclude that broader views on adaptation taxonomies and multi-objective algorithms will guide the integration between different areas of the WAs and the development of better POMs. Highlights: The manuscript provides a literature review of the Picking Optimization Methods (POMs) proposed to Joint Order Batching, Assignment and Sequencing, and Routing Problem (JOBASRP) variations. In the analyzed manuscripts total (from 1960 to 2021), metaheuristics together with constructive heuristics obtained the best solutions for JOBASRP. The theoretical framework presented summarizes the state of the art, defines the basic guidelines in relation to new research opportunities.