scholarly journals The Life Cycle Evaluation Model of External Diseconomy of Open-loop Supply Chain

Author(s):  
Qian Liu ◽  
Tianjun Hu
2021 ◽  
Vol 13 (22) ◽  
pp. 12747
Author(s):  
Fabiana Tornese ◽  
Maria Grazia Gnoni ◽  
Brian K. Thorn ◽  
Andres L. Carrano ◽  
Jennifer A. Pazour

Pallets are among the most used returnable transport items (RTIs), and they are critical assets for a supply chain as they have significant environmental and economic impacts during their whole life cycle. Differently from other packaging products, pallets are specifically designed to be repeatably repaired and reinjected for use. While this environmentally is beneficial as it reduces waste, it can create complex interactions between the stakeholder-involved manufacturers, pallet providers, users and recyclers. Further, the number of different actors is usually high, and the flow of materials among them needs to be coordinated. In addition, different business models can be implemented (such as internal management versus outsourcing) as well as logistics alternatives (closed- versus open-loop). Thus, the aims of this study are first to propose a systematization of design and management decisions regarding the pallet supply chain; next, to review the state of the art models and tools adopted to support each decision process relying on an analysis of the archival literature published between 1978 and 2021 on pallet management, to summarize the main decision problems addressed by the different stakeholders involved in the pallet life cycle and the adopted methods, and, finally, to highlight potential existing research gaps. This effort helps to outline potential contributions towards more sustainable pallet supply chains and can support pallet operators and companies in evaluating solutions to increase the economic and environmental sustainability of their pallet management. Results show that the perspectives of the pallet provider and of the supply chain are the most widely addressed in the existing literature, while those of pallet manufacturers and repairers should be further analyzed.


CONVERTER ◽  
2021 ◽  
pp. 37-44
Author(s):  
Yanli Chen

As a green, environment-friendly, energy-saving and efficient building, prefabricated building has become an important way for the development of building industrialization in China. In this paper, the green supply chain structure model of prefabricated building is constructed from the perspective of green supply chain life cycle, and the evaluation index system of sustainable development of prefabricated building is established. This paper analyzes the whole life of assembly green supply chain and applies hierarchical clustering TOPSIS comprehensive evaluation model to evaluate and identify the key nodes of assembly green supply chain. This provides theoretical support and decision-making basis for green supply chain optimization management of prefabricated buildings. At the same time, this paper puts forward some suggestions for the operation of the key links of the prefabricated green supply chain, and realizes the green sustainable management of the whole life cycle of the prefabricated building supply chain. The test results show that this method can promote the sustainable development of prefabricated buildings.


2011 ◽  
Vol 13 (04) ◽  
pp. 651-672
Author(s):  
SHARON A. JONES ◽  
KEVIN ROSE ◽  
KRISTEN TULL

As they make decisions about collective goods, policy makers strive to apply objective standards to complex environmental issues. This challenge requires the use of analytic methods that can include the multiple dimensions of such complex problems. Life-cycle analysis is a physical model that is widely recognised for its utility in investigating and improving the environmental impacts across the supply chain. However, models such as environmental life-cycle analysis are insufficient by themselves for policy-making because they do not formally include the interdependent, dynamic, often socioeconomic choices that influence supply-chain firms, and thus affect environmental outcomes. We show that game theory can be applied to improve environmental policy-making for the end-of-cycle stages of supply chains by strategically considering environmental and economic incentives. These incentives are often dependant on previous life-cycle stages while affecting future life-cycle stages. We demonstrate these techniques with a case study of open-loop (out-of-network) pallet systems for shipping consumer goods while also discussing the remaining challenges.


Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1212
Author(s):  
Ao Liu ◽  
Aixi Han ◽  
Li Chai

Apparel manufacturing involves high water consumption and heavy water pollution in its supply chain, e.g., planting cotton, producing chemical fibers, and dyeing. This study employs a multi-regional input–output (MRIO) model to (1) assess the life cycle of blue and grey water (chemical oxygen demand (COD) specific) of China’s apparel manufacturing; (2) reveal the hidden linkage among sectors and regions in the whole supply chain; and (3) identify the key regions and upstream sectors with the most water consumption and heaviest water pollution. We found that the agricultural sector (i.e., planting fiber crops) is responsible for primary water consumption and water pollution. In addition, different provinces assume different production roles. Guangdong is a major output province in apparel manufacturing. However, its economic output is contributed to by other regions, such as blue water from Xinjiang and Jiangsu and grey water from Hebei and Shandong. Our research reveals the significance of taking an inter-regional perspective on water resource issues throughout the supply chain in apparel manufacturing. The sustainable development of China’s apparel manufacturing relies on improving water-use efficiency and reasonable industrial layout. The results are of significance and informative for policymakers to build a water-sustainable apparel industry.


2018 ◽  
Vol 10 (5) ◽  
pp. 1451 ◽  
Author(s):  
Mario Giraldi-Díaz ◽  
Lorena De Medina-Salas ◽  
Eduardo Castillo-González ◽  
Max De la Cruz-Benavides

Author(s):  
Marta Rossi ◽  
Alessandra Papetti ◽  
Marco Marconi ◽  
Michele Germani

2019 ◽  
Vol 11 (5) ◽  
pp. 1370 ◽  
Author(s):  
Shutaro Takeda ◽  
Alexander Keeley ◽  
Shigeki Sakurai ◽  
Shunsuke Managi ◽  
Catherine Norris

The adoption of renewable energy technologies in developing nations is recognized to have positive environmental impacts; however, what are their effects on the electricity supply chain workers? This article provides a quantitative analysis on this question through a relatively new framework called social life cycle assessment, taking Malaysia as a case example. Impact assessments by the authors show that electricity from renewables has greater adverse impacts on supply chain workers than the conventional electricity mix: Electricity production with biomass requires 127% longer labor hours per unit-electricity under the risk of human rights violations, while the solar photovoltaic requires 95% longer labor hours per unit-electricity. However, our assessment also indicates that renewables have less impacts per dollar-spent. In fact, the impact of solar photovoltaic would be 60% less than the conventional mix when it attains grid parity. The answer of “are renewables as friendly to humans as to the environment?” is “not-yet, but eventually.”


2015 ◽  
Vol 115 (3) ◽  
pp. 436-461 ◽  
Author(s):  
MingLang Tseng ◽  
Ming Lim ◽  
Wai Peng Wong

Purpose – Assessing a measure of sustainable supply chain management (SSCM) performance is currently a key challenge. The literature on SSCM is very limited and performance measures need to have a systematic framework. The recently developed balanced scorecard (BSC) is a measurement system that requires a balanced set of financial and non-financial measures. The purpose of this paper is to evaluate the SSCM performance based on four aspects i.e. sustainability, internal operations, learning and growth, and stakeholder. Design/methodology/approach – This paper developed a BSC hierarchical network for SSCM in a close-loop hierarchical structure. A generalized quantitative evaluation model based on the Fuzzy Delphi Method (FDM) and Analytical Network Process (ANP) were then used to consider both the interdependence among measures and the fuzziness of subjective measures in SSCM. Findings – The results of this study indicate that the top-ranking aspect to consider is that of stakeholders, and the top five criteria are green design, corporate sustainability, strategic planning for environmental management, supplier cost-saving initiatives and market share. Originality/value – The main contributions of this study are twofold. First, this paper provides valuable support for supply chain stakeholders regarding the nature of network hierarchical relations with qualitative and quantitative scales. Second, this paper improves practical performance and enhances management effectiveness for SSCM.


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