Coordinating order acceptance and integrated production-distribution scheduling with batch delivery considering Third Party Logistics distribution

Noroozi, Amir; Mazdeh, Mohammad Mahdavi; Heydari, Mehdi; Rasti−Barzoki, Morteza

doi:10.1016/j.jmsy.2017.11.001

Cited by 57 publications

(11 citation statements)

References 54 publications

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“…Chen [4] summarized the existing integrated production and distribution scheduling models. These models aim to optimize one or a combination of the time-based, cost-based, and revenue-based performance measures [24][25][26][27][28][29][30][31][32] by taking into account relevant fleet size, trucks' routes, job processing or batching, e.g., Cheng et al [33], Devapriya et al [34], and Noroozi et al [35]. For instance, Hajiaghaei-Keshteli et al [26] adopt a mathematical modeling method to study the production and transportation system and capacity and cost of rail transportation, which are the highlights of the article.…”

Section: Literature Reviewmentioning

confidence: 99%

Scenario Analysis–Based Decision and Coordination in Supply Chain Management with Production and Transportation Scheduling

Jiang

Zhou

2019

Symmetry

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The production and rail transportation coordinating problem aims to determine a pre-operational timetable for a set of orders. The orders need to be manufactured on a dedicated production line and be delivered to their destination by the pre-planned trains considering traveling routes and time. The connecting trains are an important and even unique chance for orders to reach their final destinations, and earliness and tardiness penalties in the connection and delivery process are closely related to the symmetry and harmony between production procedure decision and train-allocated choice. A scenario analysis method is adopted to reveal the relationships between production collection connecting time (PCCT) and production collection waiting time (PCWT) in the production process. In the delivery process, the relationships between production delivery connecting time (PDCT) and production delivery waiting time (PDWT) are mainly considered. An integrated scheduling coordination model is established to maximize the production connecting time (PCT) and production delivery time (PDT). The GA genetic algorithm is employed to solve this problem. The numerical results show that the coordinated schedule in our method can significantly reduce the number of missed connections when compared with considering delivery timeliness only through a delivery time window. Additionally, it is revealed that the quantitative performances of the delivery timeliness improved by the connecting quality (PCT) are much better than those from the view of the delivery time window (PDT).

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Section: Literature Reviewmentioning

confidence: 99%

Scenario Analysis–Based Decision and Coordination in Supply Chain Management with Production and Transportation Scheduling

Jiang

Zhou

2019

Symmetry

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“…In contrast, the research on the integrated production-distribution scheduling problem is relatively recent, and it is termed as the integrated production-distribution planning or scheduling; this domain includes studies such as those of Pundoor and Chen [6], Pornsing et al [7], Zhong and Jiang [8], Russel et al [9], Kishimoto et al [10], Ma et al [11], and Scholz-Reiter et al [12]. In the models presented in some studies, for example, in Cheng et al [13], Devapriya et al [14], and Noroozi et al [15], one or a combination of cost-based, time-based, and revenue-based performance measures is often seen as the goal of system optimization [16{23], and the relevant truck routes, eet size, job processing or batching are seen as constraints. The literature pertaining to the methods employed to balance the respective plans of the di erent branches in the integrated supply chain, aimed at minimizing the total global cost from the global perspective, is quite limited in scope.…”

Section: Literature Reviewmentioning

confidence: 99%

A case study on the coordination scheduling for integrated production and distribution

Jiang

Chen

2019

Scientia Iranica

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An integrated coordination planning problem pertaining to the energy enterprise aims to balance the plans submitted by the production and distribution branches to mitigate the con ict between them. The conception of this research comes from the challenges encountered in practice in the energy industry. Practical experience indicates that con icts occur commonly among the respective plans made by the production and distribution branches. A plan coordinating approach is proposed that considers two aspects: maximizing company pro t and minimizing the gap between the proposed plans and the coordinating ones that implement a con ict resolution approach. We apply genetic algorithm to handle this nonlinear optimization problem. A case study of the world's largest coal supplier in China shows that if con icts occur in the original plans, the most e ective method is to adjust the original plans from a global perspective, which has a strong relationship with the overall interests. The proposed model can e ectively neutralize the secondary in uences of the con ict.

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“…Noroozi et al [29] proposed two mixed integer linear programming model for two aspects of integrated production-distribution scheduling: order acceptance and batch direct delivery. The aim of this research was trading off among the revenue of accepted orders, costs of delivery and penalties for tardiness incurred in an integrated production-distribution in a supply chain to maximize the total of benefit.…”

Section: Techniques For Optimization In Logisticsmentioning

confidence: 99%

“…Finally, it was identified that there are researches that focus on the optimization of the logistic cost, however they do not use stochastic methods that represent in a more adequate way the real situation of the process, it is so: Ji [24] carries out the research with the purpose to minimize the cost of inventory and the cost of transportation without considering the implications of the cost that can be generated by non-compliance with deliveries to customers; and Noroozi et al [29] did a similar work in relation to the analysis of the response variables under study in the present investigation, however the method applied was linear programming (deterministic method). In this respect, the contribution of this document is the application of stochastic methods, which represent in a better way the real-life processes through integration of probabilistic techniques.…”

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confidence: 99%

Integrating Simulation-Based Optimization for Lean Logistics: A Case Study

et al. 2018

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The present work aims at the comprehensive application of stochastic and optimization tools with the support of Information and Communication Technologies (ICT) through a case study in a logistics process for electronic goods; simulation and Response Surface Methodology (RSM) are applied for this purpose. The problem to be evaluated is to define an optimal distribution cost for products shipped to wholesale customers located in different cities in Mexico from a manufacturing plant in Tijuana, Mexico. The factors under study are the product allocation for each distribution center, finished good inventory level and on time deliveries, which are supposed to be significant to get the objective. The methodology applied for this problem considers the design of a discrete event simulation model to represent virtually the real life of logistics process, which is considered a complex system due to different activities are interrelated to carry it out. This model is used to execute the different experiments proposed by the RSM. The results obtained from simulation model were analyzed with the RSM to define the mathematical model that allows identifying the parameters of the factors in order to optimize the process. The findings prove how the ICT facilitate the application of stochastic tools with the purpose of process optimization.

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Coordinating order acceptance and integrated production-distribution scheduling with batch delivery considering Third Party Logistics distribution

Cited by 57 publications

References 54 publications

Scenario Analysis–Based Decision and Coordination in Supply Chain Management with Production and Transportation Scheduling

Scenario Analysis–Based Decision and Coordination in Supply Chain Management with Production and Transportation Scheduling

A case study on the coordination scheduling for integrated production and distribution

Integrating Simulation-Based Optimization for Lean Logistics: A Case Study

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