An Application of a Multi-Criteria Approach for the Development of a Process Reference Model for Supply Chain Operations

Kechagias, Evripidis P.; Gayialis, Sotiris P.; Konstantakopoulos, Grigorios D.; Papadopoulos, Georgios A.

doi:10.3390/su12145791

Cited by 14 publications

(12 citation statements)

References 32 publications

(28 reference statements)

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“…Therefore, we consider a low-carbon tourism supply chain consisting of a low-carbon tourist attraction and an online travel agency in the context of a possible crisis event in a tourist attraction. Unlike some of the previous studies that explored the impact of crisis events on specific tourist attractions, single types of tourist attractions or the coping strategies of tourist attractions, we introduced interesting studies on how the idea of supply chain management [48][49][50] into the study of low-carbon tourism is conducive to the sustainability of low-carbon tourism to explore the issue of intercompany cooperation.…”

Section: Discussionmentioning

confidence: 99%

Research on the Sustainable Operation of Low-Carbon Tourism Supply Chain under Sudden Crisis Prediction

Zhang¹,

Ma²,

Hu³

2021

Sustainability

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This paper integrates a low-carbon tourism supply chain consisting of a low-carbon tourist attraction (LTA) providing a low-carbon service and an online travel agency (OTA) responsible for big data marketing. Consumers may also encounter sudden crisis events that occur in the tourist attraction during their visit, and the occurrence of crisis events can damage the low-carbon goodwill of the tourist attraction to the detriment of the sustainable development of the supply chain. Therefore, this paper aims to investigate how tourism firms can develop dynamic strategies in the pre-crisis environment if they envision the occurrence of a crisis event and how crisis events affect interfirm cooperation. This paper uses stochastic jump processes to portray the dynamic evolution of low-carbon goodwill in the context of crisis events and introduces the methods of the differential game and Bellman’s continuous dynamic programming theory to study the sustainable operations of low-carbon tourism supply chains. Our findings provide important managerial insights for enterprises in the tourism supply chain and suggest that they need to not only become aware of the tourist attraction crisis events, but also, more importantly, they need to adjust their appropriate input strategies based on the degree of anticipation of the crisis.

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Section: Discussionmentioning

confidence: 99%

Research on the Sustainable Operation of Low-Carbon Tourism Supply Chain under Sudden Crisis Prediction

Zhang¹,

Ma²,

Hu³

2021

Sustainability

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“…This system operates in a cloud environment and it is offered as a service to potentially interested companies in order to efficiently plan their deliveries and perform the routing of their vehicles based on various parameters, such as time-windows, distribution costs, and environmental emissions. The system uses advanced methods to solve vehicle routing and scheduling problems, taking into account a plethora of constraints [26,27]. The main goal, however, in the research project's context, is to minimize the environmental impact of urban freight transports.…”

Section: The Urban Freight Transportation Systemmentioning

confidence: 99%

“…A sample case presenting the way that these algorithms deal with multiple objectives is shown in Figure 2. Such an algorithm is thoroughly presented and analyzed by [26]. The multi-objective algorithm can offer multiple solutions, which correspond to different plans of routes and schedules of deliveries.…”

Section: • Algorithms Management Subsystemmentioning

confidence: 99%

An Application of an Urban Freight Transportation System for Reduced Environmental Emissions

Kechagias

Gayialis

Konstantakopoulos

et al. 2020

Systems

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Today, there is a great need for greener urban freight transportations due to their ever-increasing environmental impact. The planet’s climate has been significantly affected as the temperature is constantly rising and extreme weather events are occurring more and more often. Aiming to reduce the environmental impact of freight transportation in urban areas, an advanced vehicle routing and scheduling system for improving urban freight transportations, has been developed. This paper presents the functionality of the advanced system, while also analyzing its subsystems and demonstrating its use in a case study. The system is provided as an integrated cloud-based software to support the needs of logistics companies, in order to efficiently schedule their deliveries and perform the routing of their vehicles. The utilized multi-objective algorithm produces solutions that minimize either the distribution cost or the environmental emissions or a combination of these parameters. An application of the system is performed for validation purposes, concerning the comparison of the system’s results with corresponding real-life data provided by a medium-sized logistics company. The results of the testing reveal its significant contribution to the reduction of the environmental impact of the company’s distribution services.

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“…Sustainable supply chain management has drawn a great deal of attention in recent years and has been studied in various contexts (e.g., [1][2][3][4][5][6][7][8]). Sisco et al [9] define it as jointly considering multiple effects (e.g., environmental, economic, and social) and implementing friendly manufacturing practices during the product life cycle.…”

Section: Introductionmentioning

confidence: 99%

Coping with Loss Aversion and Risk Management in the Supply Chain Coordination

et al. 2021

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In this paper, we apply a combined revenue sharing and buyback contract to investigate the channel coordination of a two-echelon supply chain with a loss-averse retailer. Since loss-averse decision makers usually take on more risks, the Conditional Value-at-Risk (CVaR) measure is introduced to hedge against it and the retailer’s objective is to maximize the CVaR of utility. We obtain the retailer’s optimal order quantity under the combined contract. It is shown that there is a unique wholesale price coordinating the supply chain if the retailer’s confidence level is less than a threshold that is independent of contract parameters. Moreover, a complete sensitivity analysis of parameters is carried out. In particular, the retailer’s optimal order quantity and coordinating wholesale price decreases as the loss aversion or confidence level increases, while it increase as the buyback price or sharing coefficient increases. Furthermore, there exists the situation where the combined contract can coordinate the chain even though neither the revenue sharing nor buyback contract can when the contract parameters are constrained.

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An Application of a Multi-Criteria Approach for the Development of a Process Reference Model for Supply Chain Operations

Cited by 14 publications

References 32 publications

Research on the Sustainable Operation of Low-Carbon Tourism Supply Chain under Sudden Crisis Prediction

Research on the Sustainable Operation of Low-Carbon Tourism Supply Chain under Sudden Crisis Prediction

An Application of an Urban Freight Transportation System for Reduced Environmental Emissions

Coping with Loss Aversion and Risk Management in the Supply Chain Coordination

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