Optimal inventory management using retail prepacks

Agrawal, Narendra; Smith, Stephen A.

doi:10.1016/j.ejor.2018.10.014

Cited by 15 publications

(3 citation statements)

References 26 publications

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“…To analyze the impact of the handling unit, or the minimum quantity to send to retail stores, Ramos et al (2020) developed a cost model and proved that the handling unit makes considerable influence on store logistics efficiency and costs. Moreover, the study of Agrawal and Smith (2019) showed that prepacks decision influence the optimal retailer replenishment policies, and the results showed that having multiple prepack sizes leads to significant cost savings, relative to a single prepack size. In addition to being the key factor that affects store operations, CPs is also an important factor that impacts DC operations and related logistic costs in DC.…”

Section: Case Pack Size and Unpacking Locationmentioning

confidence: 99%

Joint case pack size and unpacking location optimization in a retail supply chain including product returns

Zhao

Tan

et al. 2023

Computers & Industrial Engineering

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Section: Case Pack Size and Unpacking Locationmentioning

confidence: 99%

Joint case pack size and unpacking location optimization in a retail supply chain including product returns

Zhao

Tan

et al. 2023

Computers & Industrial Engineering

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“…Baghalian et al [22] presented an analytic model for facility location considering demand and supply uncertainties. Agrawal and Smith [23] applied mathematical programming to optimize inventory replenishment using prepacks. Ali et al [24] gave a model demonstrating the impact on forecasting when information is shared or not.…”

Section: Literature Review 21 Supply Chain Risksmentioning

confidence: 99%

Incorporating an Unsupervised Text Mining Approach into Studying Logistics Risk Management: Insights from Corporate Annual Reports and Topic Modeling

Olson

Chae

2023

Information

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This study examined the Security and Exchange Commission (SEC) annual reports of selected logistics firms over the period from 2006 through 2021 for risk management terms. The purpose was to identify which risks are considered most important in supply chain logistics operations. Section 1A of the SEC reports includes risk factors. The COVID-19 pandemic has had a heavy impact on global supply chains. We also know that trucking firms have long had difficulties recruiting drivers. Fuel price has always been a major risk for airlines but also can impact shipping, trucking, and railroads. We were especially interested in pandemic, personnel, and fuel risks. We applied topic modeling, enabling us to identify some of the capabilities of unsupervised text mining as applied to SEC reports. We demonstrate the identification of terms, the time dimension, and correlation across topics by the topic model. Our analysis confirmed expectations about COVID-19’s impact, personnel shortages, and fuel. It also revealed common themes regarding the risks involved in international trade and perceived regulatory risks. We conclude with the supply chain management risks identified and discuss means of mitigation.

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“…The substitution ratio is calculated by the substitution matrix method used by Agrawal and Smith (2019). The substitution ratio formula is:…”

Section: Numerical Examplementioning

confidence: 99%

Inventory management of perishable health products: a decision framework with non-financial measures

Duong

Wood

Wang

2020

IMDS

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PurposeThis research proposes a decision framework for using non-financial measures to define a replenishment policy for perishable health products. These products are perishable and substitutable by nature and create complexities for managing inventory. Instead of a financial measure, numerous measures should be considered and balanced to meet business objectives and enhance inventory management.Design/methodology/approachThis research applies a multi-methodological approach and develops a framework that integrates discrete event simulation (DES), analytic hierarchy process (AHP) and data envelopment analysis (DEA) techniques to define the most favourable replenishment policy using non-financial measures.FindingsThe integration framework performs well as illustrated in the numerical example; outcomes from the framework are comparable to those generated using a traditional, financial measures-based, approach. This research demonstrates that it is feasible to adopt non-financial performance measures to define a replenishment policy and evaluate performance.Originality/valueThe framework, thus, prioritises non-financial measures and addresses issues of lacking information sharing and employee involvement to enhance hospitals' performance while minimising costs. The non-financial measures improve cross-functional communication while supporting simpler transformations from high-level strategies to daily operational targets.

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Optimal inventory management using retail prepacks

Cited by 15 publications

References 26 publications

Joint case pack size and unpacking location optimization in a retail supply chain including product returns

Joint case pack size and unpacking location optimization in a retail supply chain including product returns

Incorporating an Unsupervised Text Mining Approach into Studying Logistics Risk Management: Insights from Corporate Annual Reports and Topic Modeling

Inventory management of perishable health products: a decision framework with non-financial measures

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