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Journals / Journal of Transportation and Logistics / 2022 / Volume: 7 Issue: 2

A Sequential Workforce Scheduling and Routing Problem for the Retail Industry: A Case Study

Uğur Eliiyi(İZMİR BAKIRÇAY ÜNİVERSİTESİ, İKTİSADİ VE İDARİ BİLİMLER FAKÜLTESİ)0000-0002-5584-891X
Onur Uğurlu(İZMİR BAKIRÇAY ÜNİVERSİTESİ)0000-0003-2743-5939
Sel Özcan Tatari(İZMİR BAKIRÇAY ÜNİVERSİTESİ)0000-0002-4711-6663
Pages
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Publication Date
2023-01-16
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Finally, a computational analysis was performed with real data and the results are discussed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study investigated the operational workforce scheduling and routing problem of a leading international retail company.
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Key Findings & Data:Currently, the company plans to launch a new product into the Turkish market, which will be used in all its retail stores across the country.
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Conclusion & Impact:Finally, a computational analysis was performed with real data and the results are discussed.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Workforce Scheduling and Routing · Integer Programming · Heuristics

Abstract

This study investigated the operational workforce scheduling and routing problem of a leading international retail company. Currently, the company plans to launch a new product into the Turkish market, which will be used in all its retail stores across the country. For the best marketing outcome, branding of all retail stores needs to be renewed by an outsourced workforce with a minimum of cost and time. We framed this as a workforce scheduling and routing optimization problem. Therefore, a two-stage solution was proposed. The retail stores were partitioned into disjoint regions in the first stage, and the schedules were optimized in the second stage. We employed the k-means clustering algorithm for constructing these regions. Two different heuristic approaches were applied to solve regional scheduling in the second stage of the algorithm since the resulting scheduling problem is NP-hard. Finally, a computational analysis was performed with real data and the results are discussed.

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Cite This Article

Eliiyi, U., Uğurlu, O., Tatari, S. Ö. (2023). A Sequential Workforce Scheduling and Routing Problem for the Retail Industry: A Case Study. Journal of Transportation and Logistics, Volume: 7 Issue: 2. https://doi.org/10.26650/JTL.2022.1096085

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