Abstract
With the increasing demand for customized logistics services in the manufacturing industry, the key factor in realizing the competitiveness of a logistics service supply chain (LSSC) is whether it can meet specific requirements with the cost of mass service. In this case, in‐depth research on the time‐scheduling of LSSC is required. Setting the total cost, completion time, and the satisfaction of functional logistics service providers (FLSPs) as optimal targets, this paper establishes a time scheduling model of LSSC, which is constrained by the service order time requirement. Numerical analysis is conducted by using Matlab 7.0 software. The effects of the relationship cost coefficient and the time delay coefficient on the comprehensive performance of LSSC are discussed. The results demonstrate that with the time scheduling model in mass‐customized logistics services (MCLSs) environment, the logistics service integrator (LSI) can complete the order earlier or later than scheduled. With the increase of the relationship cost coefficient and the time delay coefficient, the comprehensive performance of LSSC also increases and tends towards stability. In addition, the time delay coefficient has a better effect in increasing the LSSC’s comprehensive performance than the relationship cost coefficient does.
Highlights
In the face of growing demand for customized logistics services, numerous logistics enterprises are providing customers with mass services, but are beginning to meet the demand for customized services and are considering a change in their logistics service modes
FLSP is integrated by LSI when LSI builds the integrated logistics to customer
As the core enterprise of a LSSC, the LSI integrates the advantages of the FLSPs, such as various logistics processes and logistics service functions and provides flexible logistics services to customers
Summary
In the face of growing demand for customized logistics services, numerous logistics enterprises are providing customers with mass services, but are beginning to meet the demand for customized services and are considering a change in their logistics service modes. As the core enterprise of a LSSC, the LSI integrates the advantages of the FLSPs, such as various logistics processes and logistics service functions and provides flexible logistics services to customers. In such an environment, the key to improve the LSSC’s competitiveness is its capability to offer customized logistics services with mass logistics costs. The flexibility of the order completion time and the satisfaction of FLSPs are significant Expressing these objective functions in an optimization model and searching for a more reasonable method of solving this model are pertinent questions. The last section presents the conclusions and future research directions in this field
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