Picking efficiency and stock safety: A bi-objective storage assignment policy for temperature-sensitive products

Accorsi, Riccardo; Baruffaldi, Giulia; Manzini, Riccardo

doi:10.1016/j.cie.2017.11.009

Cited by 31 publications

(14 citation statements)

References 45 publications

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“…Since the bi-objective formulation and its associated solving algorithm represent just an alternative management scenario, their formal and rigorous definition and description are not object of this paper, which conversely illustrates a tool for the comparison and assessment of multiple warehouse management scenarios. The bi-objective formulation is extendedly proposed and discussed in Accorsi et al (2018b).…”

Section: Wms Customizationmentioning

confidence: 99%

Warehouse management system customization and information availability in 3pl companies

Baruffaldi

Accorsi

Manzini

2019

IMDS

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Purpose The purpose of this paper is to illustrate an original decision-support tool (DST) that aids 3PL managers to decide on the proper warehouse management system (WMS) customization. The aim of this tool is to address to the three main issues affecting such decision: the cost of the information sharing, the scarce visibility of the client’s data and the uncertainty of quantifying the return from investing into a WMS feature. Design/methodology/approach The tool behaves as a digital twin of a WMS. In addition, it incorporates a set of WMS’s features based both on heuristics and optimization techniques and uses simulation to perform what-if multi-scenario analyses of alternative management scenarios. In order to validate the effectiveness of the tool, its application to a real-world 3PL warehouse operating in the sector of biomedical products is illustrated. Findings The results of a simulation campaign along an observation horizon of ten months demonstrate how the tool supports the comparison of alternative scenarios with the as-is, thereby suggesting the most suitable WMS customization to adopt. Practical implications The tool supports 3PL managers in enhancing the efficiency of the operations and the fulfilling of the required service level, which is increasingly challenging given the large inventory mix and the variable clients portfolio that 3PLs have to manage. Particularly, the choice of the WMS customization that better perform with each business can be problematic, given the scarce information visibility of the provider on the client’s processes. Originality/value To the author’s knowledge, this paper is among the first to address a still uncovered gap of the warehousing literature by illustrating a DST that exploits optimization and simulation techniques to quantify the impacts of the information availability on the warehousing operations performance. As a second novel contribution, this tool enables to create a digital twin of a WMS and foresee the evolution of the warehouse’s performance over time.

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Section: Wms Customizationmentioning

confidence: 99%

Warehouse management system customization and information availability in 3pl companies

Baruffaldi

Accorsi

Manzini

2019

IMDS

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“…Constraint (2) ensures that inventory bins that a pod is assigned not exceed Q. Constraint (3) ensures that the number of inventory bins that item i needed can be satisfied. Constraint (4) indicates that the number of bins that item i occupies in the pod m is no more than Q only if it is selected to store item i. Constraint (5) indicates that item i can be stored in pod m only if it is selected to store item i. Constraint (6) is a basic constraint.…”

Section: Integer Programming Modelmentioning

confidence: 99%

Genetic Algorithm for Scattered Storage Assignment in Kiva Mobile Fulfillment System

Guan¹,

Li²

2018

AJOR

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Scattered storage means an item can be stored in multiple inventory bins. The scattered storage assignment problem based on association rules in Kiva mobile fulfillment system is investigated, which aims to decide the pods for each item to put on so as to minimize the number of pods to be moved when picking a batch of orders. This problem is formulated into an integer programming model. A genetic algorithm is developed to solve the large-sized problems. Computational experiments and comparison between the scattered storage strategy and random storage strategy are conducted to evaluate the performance of the model and algorithm.

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“…Accorsi et al examined the storage possibilities and repositioning requirements of temperature-sensitive products. They consider external environmental factors also to store the products on safe positions, for example the seasons change, different temperature circumstances next to storage walls and windows (Accorsi, Baruffaldi, & Manzini, 2018). Žulj et al optimized the SLA and the picking-routing considering the product parameters for the picking.…”

Section: Introductionmentioning

confidence: 99%

A Conceptual Framework for Adaptive Storage Location Assignment Considering Order Characteristics

Görbe

Bódis

Botzheim

2020

European Journal of Science and Technology

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Nowadays, the fragmented orders, the shrinking time windows, the special customer requirements, and the inventory reduction requirements are the biggest challenges in warehouse logistics and production supply. Research studies have already examined different type of order picking routing optimization and considered optimal storage location assignment (SLA). The several SLA solutions take into consideration several factors, however, these usually require the repositioning of the stored products. Based on our industrial experiments there is a lack of industrial application and support of the systems to keep up the ideal SLA. The aim of this paper is to define a potential concept to keep up a nearly optimal SLA during order picking position replenishment with minimized number of time consuming and labor-intensive product repositioning tasks.

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Picking efficiency and stock safety: A bi-objective storage assignment policy for temperature-sensitive products

Cited by 31 publications

References 45 publications

Warehouse management system customization and information availability in 3pl companies

Warehouse management system customization and information availability in 3pl companies

Genetic Algorithm for Scattered Storage Assignment in Kiva Mobile Fulfillment System

A Conceptual Framework for Adaptive Storage Location Assignment Considering Order Characteristics

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