A green home health care supply chain: New modified simulated annealing algorithms

Fathollahi-Fard, Amir M.; Govindan, Kannan; Hajiaghaei–Keshteli, Mostafa; Ahmadi, Abbas

doi:10.1016/j.jclepro.2019.118200

Cited by 167 publications

(93 citation statements)

References 47 publications

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“…Constraint (2) indicates that all cargoes are serviced by liners and trampers (every cargo can be serviced by more than one vessel at a time). Constraint (3) relates to the protection of the load from the loading node to the discharge node, which means that if the ship k goes to the port i for loading i, it must meet the discharge port n+1 for unloading cargo i. Constraint (4) implies that if the dock b is the departure of the ship k, then ship k departs from the departure point to one of the loading ports or goes straight to its destination. Constraint (5) indicates that if the dock b is the destination of the ship k, then ship k goes to its destination from one of the discharge ports or goes to the destination directly from its departure.…”

Section: Mathematical Formulationmentioning

confidence: 99%

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A Vehicle Routing Problem with Two Types of Ships in Container Terminals

2020

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The Vehicle Routing Problem (VRP) is one of well-established and important topic in supply chain and logistics networks. The location-routing decision-making has a significant role to optimize the traveling cost per distance, total traveling time and the number of vehicles in the supply chain networks. One of the recent advances in these systems refers to container terminals in the global trade centers. The new contributions of this model are to consider the routes of two types of ships (Tramp and Liner) with different properties and the time windows in order to minimize costs, simultaneously. The proposed model is solved by an exact solver by using LINGO software and because of inherent complexity of problem proposed in the real-world cases, the Genetic Algorithm (GA) is used to find an optimal/global solution in a reasonable time. Finally, an in-depth analysis and discussion is provided to conclude the main findings and practical implications of the results.

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Section: Mathematical Formulationmentioning

confidence: 99%

“…A clear trend found in the vehicle routing studies of recent decades' hovers around the transportation by trucks. In this regard, we mention some of them in this paper [2,3,4]. Coelho et al investigated the routing problem of a heterogeneous fleet that allowed to travel multiple times [5].…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

A Vehicle Routing Problem with Two Types of Ships in Container Terminals

2020

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“…They used a multi-objective metaheuristic method to solve the problem. Fathollahi-Fard et al [15] formulated the logistic system of home health care problem considered the environmental aspects besides the costs of the system. They used different simulated annealing algorithms to solve the problem.…”

Section: Location Lot Sizing and Routing In The Supply Chainmentioning

confidence: 99%

A hybrid metaheuristic algorithm for a data driven leagile sustainable closed-loop supply chain model under disruption risks

2020

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In the current situation, taking into consideration the environmental and social issues are related with the production and distribution of products in supply chain systems, due to the global concerns related with emitting lots of greenhouse gases within the manufacturing process and overlooking the major needs of public. This paper proposes a new multi objective model in the area of closed loop supply chain problem integrated with lot sizing by considering lean, agility and sustainability factors simultaneously. Next, a robust possibilistic programming approach is applied to handle the uncertainty of the model. To increase the responsiveness of the system, a fuzzy c-means clustering method is applied to select the potential locations based on the proximity to local customers. In the following, a new hybrid metaheuristic algorithm is developed to deal with large size problems efficiency and to assess the impact of using a single-based initial solution as the income for the second phase of the proposed hybrid algorithm. To ensure about the effectiveness of the proposed algorithm, another well-known metaheuristic algorithm is developed too. The results reached from experiments on different test problems approve the superiority of the hybrid metaheuristic algorithm to find better solutions.

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“…Fathollahi-Fard et al [42][43] presented a bi-objective which was introduced location-allocationdistribution model in HHC logistics service that in those caregivers begun from a pharmacy to ills' homes are planned and shipped to do divers care services. Finally, they move to their lab to improve the ills' health background.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

A new bi-objective integrated vehicle transportation model considering simultaneous pick-up and split delivery

2020

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Nowadays, global competition causes that the companies are dealing with the issue of cost reduction besides increasing productivity in business network more than ever. Because of that, today, both industrial practitioners and researchers are focusing on the supply chain structure issues. In order to achieve the real word objectives, the aim of the paper is to improve the performance of the supply chain network via not only taking into account simultaneous pickup and split delivery but also minimizing the total costs as well as maximizing customer services alongside multi-period and multiproducts. Besides, to accumulate the data of parameters, a food industry is considered for a case study which is in the north of Iran. Eventually, the proposed mixed-integer linear programming model is addressed by a ε-constraint method. Finally, related results of this solution are analyzed and also is compared with simple vehicle routing problem (VRP).

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A green home health care supply chain: New modified simulated annealing algorithms

Cited by 167 publications

References 47 publications

A Vehicle Routing Problem with Two Types of Ships in Container Terminals

A Vehicle Routing Problem with Two Types of Ships in Container Terminals

A hybrid metaheuristic algorithm for a data driven leagile sustainable closed-loop supply chain model under disruption risks

A new bi-objective integrated vehicle transportation model considering simultaneous pick-up and split delivery

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