Modular Supply chain optimization considering demand uncertainty to manage risk

AIChE Journal ◽  
2021 ◽  
Author(s):  
Atharv Bhosekar ◽  
Oluwadare Badejo ◽  
Marianthi Ierapetritou
Keyword(s):  
Supply Chain ◽  
Demand Uncertainty ◽  
Supply Chain Optimization

scholarly journals Fashion Supply Chain Optimization: A Linear Programming Model

2022 ◽  
Author(s):  
Sara Shoarinejad ◽  
Amin Shoari Nejad
Keyword(s):  
Supply Chain ◽  
Demand Uncertainty ◽  
Programming Model ◽  
Complex Structure ◽  
Global Competition ◽  
Supply Chain Optimization ◽  
Fashion Brand ◽  
Emerging Trends ◽  
Short Product ◽  
Algebraic Modelling

Fashion supply chain management is challenging due to demand uncertainty, short product life, fierce global competition, and increasing expectations such as product diversity and keeping pace with the current and emerging trends. In this paper, a brief review of the published works in the field of fashion and clothing supply chain is given and an integrated linear model is presented to minimize a fashion brand’s costs, including production and logistics costs, enabling the firm to make better decisions with regard to its production and replenishment policies and responding in a reasonable time to customers demands for various designed items. We show that our model can successfully account for complex structure of the supply chain consisting of designer, manufacturers, distributors, and stores. The model is validated using the General Algebraic Modelling System (GAMS) with the data collected from an Iranian fashion brand.

Supply chain optimization of large-scale continuous processes

2005 ◽  
Vol 29 (6) ◽  
pp. 1305-1316 ◽  
Author(s):  
E.P. Schulz ◽  
M.S. Diaz ◽  
J.A. Bandoni
Keyword(s):  
Supply Chain ◽  
Large Scale ◽  
Supply Chain Optimization ◽  
Continuous Processes

scholarly journals Environmental potential of carbon dioxide utilization in the polyurethane supply chain

2015 ◽  
Vol 183 ◽  
pp. 291-307 ◽  
Author(s):  
Niklas von der Assen ◽  
André Sternberg ◽  
Arne Kätelhön ◽  
André Bardow
Keyword(s):  
Carbon Dioxide ◽  
Supply Chain ◽  
Environmental Impacts ◽  
Environmental Benefits ◽  
Supply Chain Optimization ◽  
Environmental Evaluation ◽  
Impact Reduction ◽  
Carbon Dioxide Utilization ◽  
Systematic Exploration ◽  
The Impact

Potential environmental benefits have been identified for the utilization of carbon dioxide (CO2) as a feedstock for polyurethanes (PUR). CO2 can be utilized in the PUR supply chain in a wide variety of ways ranging from direct CO2 utilization for polyols as a PUR precursor, to indirect CO2 utilization for basic chemicals in the PUR supply chain. In this paper, we present a systematic exploration and environmental evaluation of all direct and indirect CO2 utilization options for flexible and rigid PUR foams. The analysis is based on an LCA-based PUR supply chain optimization model using linear programming to identify PUR production with minimal environmental impacts. The direct utilization of CO2 for polyols allows for large specific impact reductions of up to 4 kg CO2-eq. and 2 kg oil-eq. per kg CO2 utilized, but the amounts of CO2 that can be utilized are limited to 0.30 kg CO2 per kg PUR. The amount of CO2 utilized can be increased to up to 1.7 kg CO2 per kg PUR by indirect CO2 utilization in the PUR supply chain. Indirect CO2 utilization requires hydrogen (H2). The environmental impacts of H2 production strongly affect the impact of indirect CO2 utilization in PUR. To achieve optimal environmental performance under the current fossil-based H2 generation, PUR production can only utilize much less CO2 than theoretically possible. Thus, utilizing as much CO2 in the PUR supply chain as possible is not always environmentally optimal. Clean H2 production is required to exploit the full CO2 utilization potential for environmental impact reduction in PUR production.

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