Water Footprints and Virtual Water Flows Embodied in the Power Supply Chain

Wang, Like; Fan, Yee Van; Varbanov, Petar Sabev; Alwi, Sharifah Rafidah Wan; Klemeš, Jiří Jaromír

doi:10.3390/w12113006

Cited by 16 publications

(8 citation statements)

References 76 publications

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“…Regarding the first stream, the water footprint theory proposed by professor Hoekstra [5] provided an effective accounting and evaluation tool for the research of water security strategy, which has become one of the hot spots in the field of water resources management. Based on this theory, water was regarded as one of the evaluation indexes of a certain agricultural or industrial supply chain [6][7][8][9], instead of being regarded as a complete supply chain. ere are relatively few studies on water resources as a complete supply chain.…”

Section: Literature Reviewmentioning

confidence: 99%

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Decision-Making Optimization of Risk-Seeking Retailer Managed Inventory Model in a Water Supply Chain

Hou

Xin

2021

Discrete Dynamics in Nature and Society

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Water retailer managed inventory is a classical and inevitable inventory management mode in present economic society. Stochastic models can more clearly explain demand uncertainty and are closely related to water supply chains. Risk preferences are widely valued in behavioral operation management. Related to the risk preferences in inventory management, the research on risk aversion is dominant, while risk-seeking is insufficient. Based on the model assumptions, the risk-seeking retailer’s optimal decision-making inventory model with stochastic demand in a water supply chain is studied. The risk-seeking retailer’s optimal inventory quantity, optimal inventory cost, supplier profit, retailer profit, and the profit of the entire water supply chain are derived. The validity of the equations is proved. The sensitivity analysis of the risk-seeking retailer’s optimal inventory decision-making is carried out. The risk level effects on the five dimensions, the retail price, wholesale price, unit shortage cost, unit inventory cost, and unit residual value, are displayed through numerical simulation. The optimal inventory quantity and optimal inventory cost of the risk-seeking retailer are obtained.

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Section: Literature Reviewmentioning

confidence: 99%

“…and Figures8-10. On the contrary, when the wholesale price and unit inventory cost increase, the optimal inventory quantity decreases, as shown in7,11,and 12. …”

mentioning

confidence: 99%

Decision-Making Optimization of Risk-Seeking Retailer Managed Inventory Model in a Water Supply Chain

Hou

Xin

2021

Discrete Dynamics in Nature and Society

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“…Hence, Aivazidou et al ( 2016 ) recommended to consider and measure WF in any industrial operations and supply chains. The consideration of WF can alleviate problems on water availability (Wang et al 2020 ). WF embedded in products can be transferred through trade (Yang et al 2020 ) which can be potentially allow location decisions to be based on water availability.…”

Section: Introductionmentioning

confidence: 99%

Cost and water footprint trade-off in a supply chain optimization model

Cruz

Tan

2023

Clean Techn Environ Policy

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Water footprint (WF) is an appropriate tool to help any water-intensive industrial system to adapt to climate change. WF is a metric where the direct and indirect freshwater consumption of a country, firm, activity, or product are quantified. Most of existing WF literature emphasizes the assessment of products, not the optimal decision making in the supply chain. To address this research gap, a bi-objective optimization model is developed for supplier selection in a supply chain that minimizes costs and WF. Apart from determining the sources of raw materials to use in producing the products, the model also determines the actions to be taken by the firm in case of supply shortages. The model is demonstrated using three illustrative case studies which show that WF embedded in the raw materials can influence the actions to be taken when addressing issues on raw material availability. The WF becomes significant in the decisions in this bi-objective optimization problem when it is given a weight of at least 20% (or the weight of the cost is at most 80%) for case study 1 and at least 50% for case study 2. When the assigned weight in cost reaches the point where WF becomes significant, the increase in the assigned weight in WF has an inverse impact on the total cost. Case study 3 demonstrates the stochastic variant of the model. Graphical abstract Supplementary Information The online version contains supplementary material available at 10.1007/s10098-023-02549-5.

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“…Energy is one of the keys supporting economic development and playing an essential in our daily life. It is the sector that contributes significantly to various sustainability issues, such as GHG (Greenhouse Gases) emissions [ 1 ], air pollutants [ 2 ], water use [ 3 ], and poverty [ 4 ]. At the same time, the energy sector has prevalent room for improvement and is the target solution in various sustainability-related policies.…”

Section: Introductionmentioning

confidence: 99%