Sustainable consumption and production: Modelling product carbon footprint of beverage merchandise using a supply chain input‐process‐output approach

2021 ◽  
Author(s):  
Eugene Yin Cheung Wong ◽  
Danny C. K. Ho ◽  
Stuart So ◽  
Mark Ching‐Pong Poo
Keyword(s):  
Supply Chain ◽  
Carbon Footprint ◽  
Sustainable Consumption ◽  
Input Process ◽  
Product Carbon Footprint ◽  
Sustainable Consumption And Production ◽  
Process Output ◽  
Production Modelling

Green product deletion decisions

2018 ◽  
Vol 118 (2) ◽  
pp. 349-389 ◽  
Author(s):  
Chunguang Bai ◽  
Purvi Shah ◽  
Qingyun Zhu ◽  
Joseph Sarkis
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Environmental Sustainability ◽  
Rough Set Theory ◽  
Sustainable Consumption ◽  
Fuzzy Cluster ◽  
Green Product ◽  
Production Environment ◽  
Content Type ◽  
Sustainable Consumption And Production

Purpose The purpose of this paper is to identify how organizations can evaluate the green product deletion decision within an environmentally sustainable consumption and production environment through a hybrid multistage multiple criteria evaluation approach. Design/methodology/approach This paper proposes a decision-making model by integrating “soft computation” using neighborhood rough set theory, fuzzy cluster means, and cumulative prospect theory. Literature is used to identify various factors for the decision environment. An illustrative problem provides insights into the methodology and application. Findings The results indicate that green products can be evaluated from both their relative environmental burdens and benefits. Sustainable consumption and production factors that play a role in this multifactor decision are identified. The results show that a comprehensive evaluation can capture an effective overall picture on which green product(s) to delete. Research limitations/implications The opaqueness of the proposed methodology may cause less acceptance by management. The methodology made a number of assumptions related to the data. An actual application of the tool rather than just an illustrative example is needed. Originality/value The main contribution of this study is the novel integration of supply chain perspectives, both upstream (supply and production) and downstream (demand/usage), with green product deletion decision making. The hybrid multistage technique has advantages of being able to incorporate many factors that have a variety of quantitative and qualitative characteristics to help managers address green product deletion issues as well as its impact on greening of supply chains and organizational environmental sustainability. This paper adds value to product deletion, supply chain management, and sustainable production and consumption literatures.

scholarly journals Meat supply chain in the perspective of UN SDGs

2021 ◽  
Vol 6 (3) ◽  
pp. 242-247
Author(s):  
I. V. Djekic
Keyword(s):  
Sustainable Development ◽  
Supply Chain ◽  
Sustainable Development Goals ◽  
Sustainable Consumption ◽  
Clean Energy ◽  
Clean Water ◽  
Climate Action ◽  
Sustainable Consumption And Production ◽  
Development Goals ◽  
Livestock Farmers

This paper presents an overview of the meat supply chain in the perspective of main UN sustainable development goals (SDGs). To perform this overview, meat supply chain was presented with five main stakeholders (livestock farmers, slaughterhouses, meat processors, retailers and consumers). As this chain is specific, four SDGs have been revealed as most important, as follows: SDG6 — Clean water and sanitation; SDG7 — Affordable and clean energy; SDG12 — Sustainable consumption and production; SDG13 — Climate action. Discussion and literature review was performed for each of the four UN SDGs. In addition, other UN SDGs of interest for this supply chain have been briefly presented.

Data and Metering Infrastructure for Sustainable Consumption and Production

2013 ◽  
Author(s):  
Niloofar Salahi ◽  
Mohsen A. Jafari ◽  
Kevin Lyons
Keyword(s):  
Supply Chain ◽  
Business Processes ◽  
Multiple Scales ◽  
Energy Content ◽  
Sustainable Consumption ◽  
Two Dimensions ◽  
Activity Level ◽  
Distributed Information ◽  
Sustainable Consumption And Production ◽  
Energy Consuming

This paper defines a framework to construct a distributed information and computation engine to calculate the energy, material and information flow of a consumer product over the two dimensions of lifecycle and supply chain. These two dimensions construct a network in which energy content calculation is performed using hierarchical top-down mapping of energy flow. At the network’s atomic level (representing industrial or business processes), energy consuming activities as well as data requirements at process or activity level are defined. The question of data metering infrastructure as a critical and key component of such energy content calculation is also addressed. Overall, the approach is to relate system information and metrics on multiple scales and levels of complexity and to integrate this input within a dynamic information processing and knowledge generating framework. Data sourcing and metering infrastructure proposed here consists of three classes of metering structure: Physical Metering, Virtual Metering, and Simulated Metering. The applicability of proposed tools and approaches are demonstrated through a case study relevant to a conventional consumer product’s supply chain.

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