A green multi-objective integrated scheduling of production and distribution with heterogeneous fleet vehicle routing and time windows

Ganji, Maliheh; Kazemipoor, Hamed; Molana, Seyyed Mohammad Hadji; Sajadi, Seyed Mojtaba

doi:10.1016/j.jclepro.2020.120824

Cited by 88 publications

(24 citation statements)

References 44 publications

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“…In addition to the traditional consideration of transport constraints, Senoussi et al [ 21 ] assumed that the distance between the supplier and the retailer was fixed, and they designed five heuristics based on genetic algorithms to solve production distribution problem. Ganji et al [ 22 ] studied an integrated scheduling problem considering due-dates with production and distribution times. Wang et al [ 23 ] addressed an IPDSP, where distribution stage aimed at solving a vehicle routing problem.…”

Section: Literature Reviewsmentioning

confidence: 99%

Integrated scheduling of distributed production and distribution in group manufacturing with uncertain travel time

Jun

Liu

Zhao

et al. 2022

Complex Intell. Syst.

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This paper presents a novel integrated distributed production and distribution scheduling problem in group manufacturing with uncertain travel time (IDPDSP-GM-UTT), in which products are firstly produced in several distributed hybrid flow shops and then delivered to several retailers in batches. The proposed model considers both geographical dispersion of multi-factories and variable travel time between factories and retailers caused by time-varying dynamics of road network, which describes the production environment more authentic. Additionally, a mathematical model is developed to find the optimal quantity of raw material, delivery plan, and punishment of earliness and tardiness with the objective of minimizing total costs. Then, an improved genetic algorithm with two-stage heuristic mutation scheduling strategy and tabu search for local optimization (GA-2HMS&TS) is designed to solve the proposed model. To verify the performances of the proposed method, several experiments by adopting test experimental examples with different scales are performed. The computational results exhibit that the GA-2HMS&TS not only significantly reduces the total cost of production and distribution, but also outperforms all of its rivals. In addition, the robustness of the proposed models is also analyzed with regard to the different road conditions.

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Section: Literature Reviewsmentioning

confidence: 99%

Integrated scheduling of distributed production and distribution in group manufacturing with uncertain travel time

Jun

Liu

Zhao

et al. 2022

Complex Intell. Syst.

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“…GVRP can also be combined with scheduling problems in order to get a balanced environmental and economic costs by implementing effective vehicle routing and scheduling. This concept is known as green vehicle routing and scheduling problem (GVRSP) [33,34,35].…”

Section: Green Vehicle Routing Problemmentioning

confidence: 99%

“…In that study, some considerations such as customer-vehicle assignment, route selection, and travel time scheduling have been analyzed. Other than that, the variant of HFGVRP has been developed using a fixed number of heterogeneous fleets with the purposes were to minimize distribution cost, fixed and variable fuel costs, the carbon emitted by the vehicles, total delivery tardiness, and customer dissatisfaction [34].…”

Section: Green Vehicle Routing Problemmentioning

confidence: 99%

“…One concept for GVRP with multi-objective is emission-based heterogeneous fixed-fleet vehicle routing problem (EHFFVRP) [34,64]. It is a new variant of the heterogeneous fixed fleet vehicle routing problem (HFFVRP), in which a fleet consists of a fixed number of vehicles with different capacities, fixed costs and variable costs [64].…”

Section: Gvrp With Multi-objectivementioning

confidence: 99%

See 1 more Smart Citation

Heterogeneous Fleet Green Vehicle Routing Problem: A Literature Review

Normasari

Lathifah

2021

Angkasa

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Transportation, as a part of the supply chain process, contributes to carbon emission which leads to climate change and global warming. This environmental issue gives an impact to decisions regarding the supply chain of a company. One way to deal with this issue is by analyzing their vehicle routing problem. In this study, the issue about routing problems in green supply chain by considering the heterogeneous fleet is being discussed. One variant of Green Vehicle Routing Problem (GVRP) reviewed in this paper is about Heterogeneous Alternative Fuel Vehicles for Green Vehicle Routing Problem (HAFVGVRP). The purpose of this study is to review the development of GVRP with heterogeneous alternative fuel vehicles and the gap or state-of-the-art on existing researches. The review was classified according to the objectives, type of fleet, and solution used. Moreover, this study also presents the trend and direction of further research.

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“…The ability to integrate production and distribution to maximize profit can be done by optimizing production planning and distribution planning decisions. According to Ganji, Kazemipoor, Molana, and Sajadi [1], production-distribution integration can achieve significant profitability and a total cost reduction of 3 to 20 percent. A similar opinion was conveyed by Noroozi et al (2018) in that the integration of production-distribution in the supply chain can maximize total profits.…”

Section: Introductionmentioning

confidence: 99%

Production-Distribution Model Considering Traceability and Carbon Emission: A Case Study of the Indonesian Canned Fish Food Industry

et al. 2021

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Background: Traceability systems and carbon emissions are two important factors involved in production and distribution activities. The involvement of these two factors in production and distribution activities along the supply chain will ensure the safety and quality of food through the manufacture, packaging and distribution of products with minimal costs and in an environmentally friendly way. Objective: This study aimed to develop a model of canned fish food production and distribution integration by considering traceability and carbon emissions to minimize total costs. Method: A mixed-integer linear programming (MILP) approach was used to develop mathematical models and the optimal solution of the model created was obtained using an open-source spreadsheet solver program. Results: The results show that the proposed models produce the minimum total production and distribution cost with high traceability and low carbon emissions. Conclusions: The sensitivity analysis from this study shows that there is a significant relationship between production, carbon emissions, and the total cost of production-distribution. Moreover, it was concluded that the production level, carbon emission level, and emission threshold can have a significant influence in the generation of the total carbon emissions.

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A green multi-objective integrated scheduling of production and distribution with heterogeneous fleet vehicle routing and time windows

Cited by 88 publications

References 44 publications

Integrated scheduling of distributed production and distribution in group manufacturing with uncertain travel time

Integrated scheduling of distributed production and distribution in group manufacturing with uncertain travel time

Heterogeneous Fleet Green Vehicle Routing Problem: A Literature Review

Production-Distribution Model Considering Traceability and Carbon Emission: A Case Study of the Indonesian Canned Fish Food Industry

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