Multiobjective Optimization for Planning the Service Areas of Smart Parcel Locker Facilities in Logistics Last Mile Delivery
Zhen-Hua Che,
Tzu-An Chiang and
Yun-Jhen Luo
Additional contact information
Zhen-Hua Che: Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 106, Taiwan
Tzu-An Chiang: Department of Business Administration, National Taipei University of Business, Taipei 100, Taiwan
Yun-Jhen Luo: Manufacturing Department, Taiwan Semiconductor Manufacturing Company, Taichung 407, Taiwan
Mathematics, 2022, vol. 10, issue 3, 1-22
Abstract:
The planning of the location service areas of smart parcel locker facilities became a critical aspect of logistics last mile delivery. In e-commerce, the efficiency of delivering merchandise from retailer warehouses to customers determines the competitiveness of retailers and delivery operators. The considerable increases in e-commerce transactions and safety concerns under the COVID-19 (Coronavirus disease 2019) pandemic made home delivery services even more inefficient than before, which resulted in the considerable increase in social costs. In numerous countries, smart parcel lockers were adopted to increase delivery efficiency, decrease the risk of COVID-19 infection, and reduce the burden on society. This study proposed a multiobjective optimization mathematical model for investigating the planning of the location service areas of smart parcel locker facilities, and then the optimization mathematical model was solved using a combination of the Taguchi method (TA) and nondominant sorting genetic algorithm II (NSGA-II). Finally, this composite approach was applied to a case study in producing favorable solutions for facility location service area planning.
Keywords: smart parcel locker; logistics last mile delivery; e-commerce; home delivery; nondominant sorting genetic algorithm II (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (9)
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