Cost allocation for less-than-truckload collaboration among perishable product retailers

Li, Jun; Cai, Xiaoqiang; Zeng, Yinlian

doi:10.1007/s00291-015-0424-9

Cited by 16 publications

(7 citation statements)

References 26 publications

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“…In particular, the Shapley Value based on the player's contribution to the gain is the model which most often proposed in the studies due to its validity and convenience of implementation (Krajewska et al 2008;Dai and Chen 2012b;Vanovermeire and Sörensen 2014a). Some studies also used the Shapley Value to compare the proposed methods (Frisk et al 2010;Lozano et al 2013;Hezarkhani, Slikker, and Van Woensel 2015;Li, Cai, and Zeng 2016;Verdonck et al 2016).…”

Section: Gain Sharing (I4)mentioning

confidence: 99%

Horizontal collaborative transport: survey of solutions and practical implementation issues

Pan

Trentesaux

Ballot

et al. 2019

International Journal of Production Research

155

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Horizontal collaboration has been considered as effective practice for sustainable logistics and freight transport and it has gained increased attention in recent years. This paper aims to provide a survey of the development of horizontal collaborative transport (HCT) over the past ten years, to identify research trends and gaps, then to propose some research opportunities. The paper also aims to provide guidelines to logistics companies who wish to embark on HCT, to help them choose which HCT solution to implement. To provide a comprehensive and structured review, the paper follows the methodology for Systematic Literature Review proposed in the literature. A total of 120 scientific papers published between 2007 and 2017 were reviewed. A survey framework based on two axes-HCT solutions and implementation issues-is developed to analyse and position the papers. The results show that, regarding HCT solutions, carrier alliance and flow controller collaboration were the most frequently studied. But recent innovative solutions such as pooling and physical internet are also gaining increased attention. Regarding implementation issues, the focus of the literature has been on the development of decisionmaking models, including transport planning, lane exchange, and gain sharing. Conversely, managerial and technological issues have received less attention.

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Section: Gain Sharing (I4)mentioning

confidence: 99%

Horizontal collaborative transport: survey of solutions and practical implementation issues

Pan

Trentesaux

Ballot

et al. 2019

International Journal of Production Research

155

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“…They studied how the contract design was influenced by the power structures and developed some incentive mechanisms to coordinate the decentralized channel. Li et al (2016) studied the cost allocation problem for less-than-truckload collaboration among retailers in a perishable-product supply chain. They used a cooperative game theory approach to solve the cost allocation problem and examined the performances of different cost allocation schemes.…”

Section: Literature Reviewmentioning

confidence: 99%

Push or Pull? Perishable Products with Freshness-Keeping Effort

Zhang

Guan

Kuo

et al. 2019

Asia Pac. J. Oper. Res.

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With the gradual improvement of living standards, people’s consumption levels and habits are changing. One notable fact is that the demand for fresh products is growing steadily. Accordingly, fresh-product preservation and logistics distribution also require higher standards. Based on the practice of fresh domestic transport and preservation, for which the producer and the distributor are responsible, this paper discusses their optimal decisions taking into account the freshness-keeping effort of the distributor. Our main contributions include the derivations of the optimal decisions of the order quantity and the freshness-keeping effort in both the pull and push models, which are common in practice but have not been studied in the literature. Our analytical models lead to the result that, all other settings being the same, the distributor always puts a greater effort into preserving the product quality in the pull model than in the push model. This phenomenon results in a greater distributor’s order quantity and producer’s shipping quantity in the pull model. We also conduct a comprehensive numerical comparison of the effects of different modulating factors, including the price and the proportion and variation of surviving quantity, in these two settings. We find that the profits of the participants and the supply chain are always larger in the pull model, which indicates that the pull model is a better choice for the supply chain.

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“…Throughout the unloading period of perishable products from the arriving inbound trucks, transfer of the products within the CDT, and loading of perishable products on the assigned outbound trucks, the products are assumed to deteriorate (since they are not stored under a particular temperature). The following relationship will be adopted in this study to estimate the product quality of the given product type that has been transported by arriving inbound truck for outbound truck at time (Dulebenets and Ozguven, 2017;Li et al, 2016):…”

Section: Decay Modeling Of Perishable Productsmentioning

confidence: 99%

Models and Solution Algorithms for Efficient Truck Scheduling at Cross-docking Terminals with Time-sensitive Products

Theophilus¹

2021

Preprint

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This dissertation focuses on the scheduling of trucks (both in- and outbound trucks) at a CDT, where some of the delivered products are perishable in nature. The short lifespan of perishable products (i.e., foods and drugs) poses critical challenges to the CDT operations management. Perishable goods are time-sensitive products that require minimal handling time to preserve their quality and profitability. Cross-docking is expected to facilitate the distribution of perishable products within supply chains. There are many challenges involved in the management of the cross-docking terminals with perishable products, including determination of the service order of the trucks (inbound and outbound) carrying perishable products, selection of preemption strategies for certain trucks (i.e., a given truck can leave the door, so another truck can be docked for service), allocation of suitable temporary storage space for products, quality loss due to late delivery or errors in temperature control.This dissertation aims to develop a mathematical model for scheduling the arriving trucks at a cross-dock terminal, taking product decay into consideration throughout the handling process. The objective of the mathematical model minimizes the total truck service cost, which includes (1) waiting cost; (2) service cost; (3) cost of product storage; (4) cost of delay in truck departure; and (5) the cost associated with the decay of products that are perishable in nature. A number of linearization techniques are discussed in order to linearize the original nonlinear mathematical model (where the nonlinearity is caused by the adopted product decay function). The complexity of the linearized model is evaluated in this dissertation. Moreover, the candidate solution approaches for the proposed mathematical model are described.The developed model was solved using the exact optimization technique. In particular, the model was solved to optimality using CPLEX. However, it was observed that the computational time increased as the problem size increased due to the model complexity. Four alternative solution approaches namely: (1) Evolutionary Algorithm (EA); (2) Variable Neighborhood Search (VNS); (3) Tabu Search (TS); and (4) Simulated Annealing (SA), which are common metaheuristic algorithms, were developed and compared with CPLEX using small-size problem instances. These metaheuristics were able to achieve optimal solutions for the small-size problem instances and required relatively low computational times. The metaheuristic algorithms were further compared, and EA was found to outperform the others (VNS, TS, and SA) based on the balance between the objective function and computational time values. A set of analyses were carried out using EA, and managerial insights that could be of interest to supply chain stakeholders were drawn. The proposed mathematical model, the developed EA, and the managerial insights could assist the CDT manager in making efficient and timely truck scheduling decisions in any planning horizon.

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Cost allocation for less-than-truckload collaboration among perishable product retailers

Cited by 16 publications

References 26 publications

Horizontal collaborative transport: survey of solutions and practical implementation issues

Horizontal collaborative transport: survey of solutions and practical implementation issues

Push or Pull? Perishable Products with Freshness-Keeping Effort

Models and Solution Algorithms for Efficient Truck Scheduling at Cross-docking Terminals with Time-sensitive Products

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