The role of supply chain orientation in achieving supply chain sustainability

Jadhav, Akshay C.; Orr, Stuart; Malik, Mohsin

doi:10.1016/j.ijpe.2018.07.031

Cited by 105 publications

(82 citation statements)

References 66 publications

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“…In the last years, a shift in academic discourse emerged towards supply chain collaboration and the importance of a cross-organisational focus [69]. Extending collaboration across organisational boundaries is a challenging and complex endeavour [65].…”

Section: Collaborationmentioning

confidence: 99%

Sustainable Supply Chain Management Strategy Influence on Supply Chain Management Functions in the Oil and Gas Distribution Industry

et al. 2019

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This paper analyses the influence of Sustainable Supply Chain Management strategies—Supplier Selection, Product Stewardship and Logistics Management—on Supply Chain Management functions—Planning, Execution, Coordination and Collaboration in the oil and gas distribution industry. Using multiple regression analyses, we performed the study on 79 companies from Romania and the Republic of Moldova operating in the oil and gas distribution industry. We concluded that Sustainable Supply Chain Management strategies have a positive and significant influence on Supply Chain Management functions, both overall and on each of the functions considered in the study. Overall, the findings of this study can be used by companies operating in oil and gas distribution to design Sustainable Supply Chain Management strategies to better address the requirements for more environmentally and socially responsible activities in their supply chains and to optimize their Supply Chain Management to better cope with Sustainable Supply Chain Management requirements and expectations.

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Section: Collaborationmentioning

confidence: 99%

Sustainable Supply Chain Management Strategy Influence on Supply Chain Management Functions in the Oil and Gas Distribution Industry

et al. 2019

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“…In recent years there has been a growing interest in supply chain sustainability from all its three dimensions: economical, social and environmental. Many studies showed the importance of the supply chain practices and the coordination between its different components (supplier, production plants distribution centers and customers) on the global sustainability of the entire supply chain [6,7,45]. The sustainability issue is usually addressed from a single aspect and must integrate and combine all the three dimensions [45].…”

Section: Sustainability In Supply Chains and Cross-docksmentioning

confidence: 99%

“…Since supply chains are composed of different elements (suppliers, production plants, distribution centers, retailers and customers), a robust coordination is necessary to ensure the flexibility of the products flow. In addition to the linkage between all those components of the supply chain, the structure and the configuration of the supply chain has also a major impact on the supply chain sustainability [6,7].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Sustainable Truck Scheduling in a Rail–Road Physical Internet Cross-Docking Hub Considering Energy Consumption

et al. 2019

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In the context of supply chain sustainability, Physical Internet (PI or π ) was presented as an innovative concept to create a global sustainable logistics system. One of the main components of the Physical Internet paradigm consists in encapsulating products in modular and standardized PI-containers able to move via PI-nodes (such as PI-hubs) using collaborative routing protocols. This study focuses on optimizing operations occurring in a Rail–Road PI-Hub cross-docking terminal. The problem consists of scheduling outbound trucks at the docks and the routing of PI-containers in the PI-sorter zone of the Rail–Road PI-Hub cross-docking terminal. The first objective is to minimize the energy consumption of the PI-conveyors used to transfer PI-containers from the train to the outbound trucks. The second objective is to minimize the cost of using outbound trucks for different destinations. The problem is formulated as a Multi-Objective Mixed-Integer Programming model (MO-MIP) and solved with CPLEX solver using Lexicographic Goal Programming. Then, two multi-objective hybrid meta-heuristics are proposed to enhance the computational time as CPLEX was time consuming, especially for large size instances: Multi-Objective Variable Neighborhood Search hybridized with Simulated Annealing (MO-VNSSA) and with a Tabu Search (MO-VNSTS). The two meta-heuristics are tested on 32 instances (27 small instances and 5 large instances). CPLEX found the optimal solutions for only 23 instances. Results show that the proposed MO-VNSSA and MO-VNSTS are able to find optimal and near optimal solutions within a reasonable computational time. The two meta-heuristics found optimal solutions for the first objective in all the instances. For the second objective, MO-VNSSA and MO-VNSTS found optimal solutions for 7 instances. In order to evaluate the results for the second objective, a one way analysis of variance ANOVA was performed.

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“…The aims of Urban Supply Chain (USC) are to minimize the total cost of the pick-up and delivery process or maximize the benefits for the main actors, in most of the cases, without considering the sustainability of the supply chain [20,21], especially the social and environmental dimensions [11]. There are several goods distribution strategies in order to achieve those objectives, such as direct or multi-stop deliveries, or the use of one or several consolidation platforms in which products are consolidate to further deliveries to customers [8,22].…”

Section: Urban Supply Chain (Usc) and Goods Distribution Strategiesmentioning

confidence: 99%

An Urban Supply Chain Distribution Model

Gómez-Marín¹,

Zapata-Cortés²,

Serna³

et al. 2019

RCS

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Increased activities in urban areas related with goods transportation lead companies to look for new strategies in order to develop those process in a more efficient way, aiming to reduce costs and increase customer's satisfaction. This paper presents an urban supply chain framework and a Mixed Integer Linear Programing Model for its optimization. The model uses different goods distribution actors, including several suppliers, one consolidation facility and several customers. The proposed framework and optimization model allow to generate optimal routes and the assignment of the customers and suppliers in the distribution network.

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The role of supply chain orientation in achieving supply chain sustainability

Cited by 105 publications

References 66 publications

Sustainable Supply Chain Management Strategy Influence on Supply Chain Management Functions in the Oil and Gas Distribution Industry

Sustainable Supply Chain Management Strategy Influence on Supply Chain Management Functions in the Oil and Gas Distribution Industry

Multi-Objective Sustainable Truck Scheduling in a Rail–Road Physical Internet Cross-Docking Hub Considering Energy Consumption

An Urban Supply Chain Distribution Model

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