An Input–Output Technological Model of Life Cycle Costing: Computational Aspects and Implementation Issues in a Generalised Supply Chain Perspective

2011 ◽  
pp. 55-109 ◽  
Author(s):  
Ettore Settanni ◽  
Giuseppe Tassielli ◽  
Bruno Notarnicola
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Life Cycle Costing ◽  
Input Output ◽  
Computational Aspects ◽  
Technological Model

scholarly journals Carbon footprint stock analysis of US manufacturing: a time series input-output LCA

2017 ◽  
Vol 117 (5) ◽  
pp. 853-872 ◽  
Author(s):  
Gokhan Egilmez ◽  
Khurrum Bhutta ◽  
Bulent Erenay ◽  
Yong Shin Park ◽  
Ridvan Gedik
Keyword(s):  
Time Series ◽  
Life Cycle Assessment ◽  
Supply Chain ◽  
Life Cycle ◽  
Carbon Footprint ◽  
Manufacturing Industries ◽  
Input Output ◽  
Content Type ◽  
The Us ◽  
Manufacturing Sectors

Purpose The purpose of this paper is to provide an input-output life cycle assessment model to estimate the carbon footprint of US manufacturing sectors. To achieve this, the paper sets out the following objectives: develop a time series carbon footprint estimation model for US manufacturing sectors; analyze the annual and cumulative carbon footprint; analyze and identify the most carbon emitting and carbon intensive manufacturing industries in the last four decades; and analyze the supply chains of US manufacturing industries to help identify the most critical carbon emitting industries. Design/methodology/approach Initially, the economic input-output tables of US economy and carbon footprint multipliers were collected from EORA database (Lenzen et al., 2012). Then, economic input-output life cycle assessment models were developed to quantify the carbon footprint extents of the US manufacturing sectors between 1970 and 2011. The carbon footprint is assessed in metric tons of CO2-equivalent, whereas the economic outputs were measured in million dollar economic activity. Findings The salient finding of this paper is that the carbon footprint stock has been increasing substantially over the last four decades. The steep growth in economic output unfortunately over-shadowed the potential benefits that were obtained from lower CO2 intensities. Analysis of specific industry results indicate that the top five manufacturing sectors based on total carbon footprint share are “petroleum refineries,” “Animal (except poultry) slaughtering, rendering, and processing,” “Other basic organic chemical manufacturing,” “Motor vehicle parts manufacturing,” and “Iron and steel mills and ferroalloy manufacturing.” Originality/value This paper proposes a state-of-art time series input-output-based carbon footprint assessment for the US manufacturing industries considering direct (onsite) and indirect (supply chain) impacts. In addition, the paper provides carbon intensity and carbon stock variables that are assessed over time for each of the US manufacturing industries from a supply chain footprint perspective.

The sustainability of communicative packaging concepts in the food supply chain. A case study: part 2. Life cycle costing and sustainability assessment

2011 ◽  
Vol 16 (6) ◽  
pp. 537-547 ◽  
Author(s):  
Antonio Dobon ◽  
Pilar Cordero ◽  
Fatima Kreft ◽  
Søren R. Østergaard ◽  
Helle Antvorskov ◽  
...  
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Food Supply ◽  
Sustainability Assessment ◽  
Life Cycle Costing ◽  
Food Supply Chain

Sustainable Procurement in Australia: Quantity Surveyors’ Perception on Life Cycle Costing

2018 ◽  
Vol 10 (2) ◽  
Author(s):  
Benson Teck-Heng Lim ◽  
◽  
Wanting Zhang ◽  
Bee Lan Oo ◽  
◽  
...  
Keyword(s):  
Life Cycle ◽  
Life Cycle Costing ◽  
Sustainable Procurement

A Framework for Evaluating R&D Impacts and Supply Chain Dynamics Early in a Product Life Cycle. Looking inside the black box of innovation

2014 ◽  
Author(s):  
Gretchen Jordan ◽  
Jonathan Mote ◽  
Rosalie Ruegg ◽  
Thomas Choi ◽  
Angela Becker-Dippmann
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Product Life Cycle ◽  
Black Box ◽  
Chain Dynamics ◽  
Product Life ◽  
Supply Chain Dynamics

scholarly journals Life Cycle Costing: Understanding How It Is Practised and Its Relationship to Life Cycle Management—A Case Study

2020 ◽  
Vol 12 (8) ◽  
pp. 3252 ◽  
Author(s):  
Marianna Lena Kambanou
Keyword(s):  
Life Cycle ◽  
Life Cycle Management ◽  
Life Cycle Costing ◽  
Methodological Choices ◽  
Manufacturing Company

Despite the existence of many life cycle costing (LCC) methods, LCC is not widely adopted and LCC methods are usually further tailored by practitioners. Moreover, little is known about how practising LCC improves life cycle management (LCM) especially if LCM is considered emergent and constantly developing. In a manufacturing company, LCC is prescriptively introduced to improve LCM. In the first part, this study describes how various methodological choices and other aspects of practising LCC were the outcome of contestation and conformity with extant practices and not only the best way to fulfil the LCC’s objective. This contestation can even influence if LCC is adopted. In the second part of the research, the implications of practising LCC on LCM are explored. LCC is found to positively propel LCM in many ways e.g., by spreading the life cycle idea, but may lead to a narrower understanding of the term life cycle resulting in the sustainability focus of LCM being overridden. The article also discusses how the findings can be taken into consideration when researchers develop LCC methods and when industry practises LCC.

scholarly journals Life Cycle Blue and Grey Water in the Supply Chain of China’s Apparel Manufacturing

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1212
Author(s):  
Ao Liu ◽  
Aixi Han ◽  
Li Chai
Keyword(s):  
Water Pollution ◽  
Supply Chain ◽  
Life Cycle ◽  
Water Consumption ◽  
Agricultural Sector ◽  
Oxygen Demand ◽  
High Water ◽  
Grey Water ◽  
Apparel Manufacturing ◽  
Economic Output

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.

scholarly journals Environmental Impact Associated with the Supply Chain and Production of Biodiesel from Jatropha curcas L. through Life Cycle Analysis

2018 ◽  
Vol 10 (5) ◽  
pp. 1451 ◽  
Author(s):  
Mario Giraldi-Díaz ◽  
Lorena De Medina-Salas ◽  
Eduardo Castillo-González ◽  
Max De la Cruz-Benavides
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Environmental Impact ◽  
Jatropha Curcas ◽  
Life Cycle Analysis ◽  
Jatropha Curcas L
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