Fuzzy Multi-Objective Approach for Designing of Biomass Supply Chain for Polygeneration With Triple Footprint Constraints

2013 ◽  
Author(s):  
A. T. Ubando ◽  
K. B. Aviso ◽  
A. B. Culaba ◽  
D. K. S. Ng ◽  
R. R. Tan
Keyword(s):  
Supply Chain ◽  
Environmental Impact ◽  
Raw Materials ◽  
Economic Potential ◽  
Industrial Case Study ◽  
Multi Objective ◽  
Product Demand ◽  
Demand Scenario ◽  
Energy Products

Polygeneration systems produce multiple energy products (i.e. electricity, heat, cooling), and other biochemical products (biofuels and syngas). Such systems offer a sustainable approach in meeting the ever-growing demand of energy, while reducing its environmental impact. The optimal design of such systems should consider the design of the supply-chain in producing the targeted energy products to reduce the resource consumption and waste generation and to maximize its economic potential. One of the important considerations in designing such a system is whether to out-source its raw materials or to produce them in-house. The criteria for such decision strategies are assessed through economics, product demand, and environmental impact. One holistic way to measure the environmental impact of such system is to consider the triple footprint: carbon, water, and land. The objective of this work is to maximize the economic potential while maintaining the footprints at acceptable levels and simultaneously meeting product demands. In this study, an adoption of fuzzy multi-objective approach is presented wherein the economic potential is introduced as a constraint. Moreover, predefined fuzzy trapezoidal-shaped limits for the product demand constraints are used which mimics the probabilistic demand scenario for each of the product streams. Lastly, the triple footprint constrains is utilized to assess the environmental impact of the polygeneration. The technique is demonstrated using a modified industrial case study of a polygeneration system.

scholarly journals Bacterial fabric: introductory studies on the application of biomimetics in the bacterial fermentation process

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Dulce Maria Holanda Maciel ◽  
Luísa Córdova Wandscheer ◽  
Daniela Novelli
Keyword(s):  
Environmental Impact ◽  
Consumer Goods ◽  
Fermentation Process ◽  
Raw Materials ◽  
Future Scenario ◽  
Bacterial Fermentation ◽  
Market Chain ◽  
Fabric Production ◽  
The Relationship

Thinking about innovations that reduce environmental impact and offer quality consumer goods is a way of proposing a future scenario governed by eco-efficiency values. Through an exploratory bibliographic and documentary research, which qualitatively analyses Kombucha authors and fermenters, this article seeks to identify the relationship between biomimetics and bacterial fabric production as an eco-efficient product in the fashion market chain. The general objective of this case study is to explain the fermentation process to encourage the search for raw materials inserted in the sustainability proposal.

scholarly journals Accounting for Carbon Footprint Flows in Wine Production Process. Case Study in Spanish Winery

2020 ◽  
Vol 10 (23) ◽  
pp. 8381
Author(s):  
Miguel Marco-Fondevila ◽  
José M. Moneva ◽  
Fernando Llena-Macarulla
Keyword(s):  
Supply Chain ◽  
Environmental Impact ◽  
Production Process ◽  
Carbon Footprint ◽  
Value Chain ◽  
Corporate Image ◽  
Accounting System ◽  
Low Carbon ◽  
Wine Production

Companies are gradually becoming conscious about the necessity of reducing their environmental impact and adopting low-carbon strategies in order to cope with increasing institutional and social demands. However, remaining competitive while reducing the environmental impact and improving the corporate image requires adopting sophisticated mechanisms boosting eco-efficiency and keeping costs tight. Material Flows Cost Accounting (MFCA) is an instrument that allows the monitoring of, measurement of, and accounting for physical and monetary processes along the production process. If extended to the supply chain, and applied to the energy usage and CO2 emissions, it allows one to account for the Carbon Footprint (CF) of a company and its products at any given stage of the value chain. The current paper presents a case study developed under the framework of a three-year project to introduce an energy use and carbon emissions monitoring and accounting system in a large winery company in Spain, based on the MFCA approach and CF accountability. Including the supply chain of the company and the whole farming cycle of its main input, the case study presents the method and phases adopted to implement the project, its direct and indirect results and outcomes, and the conclusions that can be extracted, which may be inspirational for practitioners and scholars envisaging similar projects.

An Integrated Multi-Objective Decision Model under Considering Stochastic Demand, Price Breaks and Disruption Risk for Order Allocation in a Multiple-Supplier Environment

2011 ◽  
Vol 204-210 ◽  
pp. 387-390
Author(s):  
Wei Pan ◽  
Xian Jia Wang ◽  
Yong Guang Zhong ◽  
Lun Ran
Keyword(s):  
Supply Chain ◽  
Decision Model ◽  
Raw Materials ◽  
Service Level ◽  
Order Allocation ◽  
Purchasing Cost ◽  
Multi Objective ◽  
Disruption Risk ◽  
Order Quantities ◽  
Risk Cost

The objective of this article is to study the order allocation problems in a stochastic supply chain. This supply chain consists of a company that can order raw materials from multiple suppliers. At any time of a supply order, decisions have to be made by the company concerning the respective supplier order quantities and price breaks, so that the total purchasing cost and disruption risk cost are minimized, while maintaining a specified service level and quality. For this purpose, we have developed an integrated multi-objective decision model under random constraint to supply order allocation.

scholarly journals Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment

2021 ◽  
Author(s):  
Srikant Gupta ◽  
Ahteshamul Haq ◽  
Irfan Ali ◽  
Biswajit Sarkar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Real Life ◽  
Decision Makers ◽  
Supply Chain Network ◽  
Multi Objective ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Hierarchical Decision

AbstractDetermining the methods for fulfilling the continuously increasing customer expectations and maintaining competitiveness in the market while limiting controllable expenses is challenging. Our study thus identifies inefficiencies in the supply chain network (SCN). The initial goal is to obtain the best allocation order for products from various sources with different destinations in an optimal manner. This study considers two types of decision-makers (DMs) operating at two separate groups of SCN, that is, a bi-level decision-making process. The first-level DM moves first and determines the amounts of the quantity transported to distributors, and the second-level DM then rationally chooses their amounts. First-level decision-makers (FLDMs) aimed at minimizing the total costs of transportation, while second-level decision-makers (SLDM) attempt to simultaneously minimize the total delivery time of the SCN and balance the allocation order between various sources and destinations. This investigation implements fuzzy goal programming (FGP) to solve the multi-objective of SCN in an intuitionistic fuzzy environment. The FGP concept was used to define the fuzzy goals, build linear and nonlinear membership functions, and achieve the compromise solution. A real-life case study was used to illustrate the proposed work. The obtained result shows the optimal quantities transported from the various sources to the various destinations that could enable managers to detect the optimum quantity of the product when hierarchical decision-making involving two levels. A case study then illustrates the application of the proposed work.

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