scholarly journals Simultaneous global supply chain and product architecture design considering natural hazard exposure and geographical facility location

Procedia CIRP ◽  
2018 ◽  
Vol 72 ◽  
pp. 533-538 ◽  
Author(s):  
Jessica Olivares Aguila ◽  
Waguih ElMaraghy
Keyword(s):  
Supply Chain ◽  
Facility Location ◽  
Natural Hazard ◽  
Global Supply Chain ◽  
Product Architecture ◽  
Architecture Design ◽  
Hazard Exposure

Intel Realizes $25 Billion by Applying Advanced Analytics from Product Architecture Design Through Supply Chain Planning

2021 ◽  
Vol 51 (1) ◽  
pp. 9-25
Author(s):  
John Heiney ◽  
Ryan Lovrien ◽  
Nicholas Mason ◽  
Irfan Ovacik ◽  
Evan Rash ◽  
...  
Keyword(s):  
Supply Chain ◽  
Large Scale ◽  
Product Architecture ◽  
Mixed Integer ◽  
Architecture Design ◽  
Product Portfolio ◽  
Supply Chain Planning ◽  
Design Alternatives ◽  
Physics Simulation ◽  
Advanced Analytics

Due to its scale, the complexity of its products and manufacturing processes, and the capital-intensive nature of the semiconductor business, efficient product architecture design integrated with supply chain planning is critical to Intel’s success. In response to an exponential increase in complexities, Intel has used advanced analytics to develop an innovative capability that spans product architecture design through supply chain planning with the dual goals of maximizing revenue and minimizing costs. Our approach integrates the generation and optimization of product design alternatives using genetic algorithms and device physics simulation with large-scale supply chain planning using problem decomposition and mixed-integer programming. This corporate-wide capability is fast and effective, enabling analysis of many more business scenarios in much less time than previous solutions, while providing superior results, including faster response time to customers. Implementation of this capability over the majority of Intel’s product portfolio has increased annual revenue by an average of $1.9 billion and reduced annual costs by $1.5 billion, for a total benefit of $25.4 billion since 2009, while also contributing to Intel’s sustainability efforts.

A grey based approach for assessment of risk associated with facility location in global supply chain

2015 ◽  
Vol 5 (3) ◽  
pp. 419-436 ◽  
Author(s):  
Surya Prakash ◽  
Gunjan Soni ◽  
Ajay Pal Singh Rathore
Keyword(s):  
Risk Factors ◽  
Decision Making ◽  
Supply Chain ◽  
Facility Location ◽  
Global Supply Chain ◽  
Final Decision ◽  
Extensive Literature ◽  
Risk Minimization ◽  
Strategic Decisions ◽  
Content Type

Purpose – Facility location decisions are critical and should be taken after strategic evaluations. Globalization and integration of economies make such decisions further complex and risk prone. The purpose of this paper is to identify and assess the risk factors to be considered while taking new facility location decision associated with global supply chain and device the methodology. A grey-based multi-criteria decision-making (MCDM) approach is used for this purpose, which also takes in to account the uncertainty in decision making. Such approach enables final decision to be more real and practical. The paper also highlighted and discussed the criteria on the basis of which the management can select the best suitable site. Design/methodology/approach – The risk factors related to facility location for a global firm are identified. To select the location of a global facility with least risk, grey-based MCDM approach is formulated. This grey-based MCDM is demonstrated using the hypothetical case of an industrial valve manufacturing global firm. The grey approach is used to analyse location alternatives based on various decision criteria for extracting comparative ranking. Findings – The paper presents a tool for strategic and planning level. It helps supply chain managers to identify the risks related to a candidate location. Then it guides the supply chain manager at strategic level to find the least risky location for a manufacturing facility. Practical implications – This paper demonstrates the grey-based MCDM approach for determining less risky location to locate a new manufacturing unit so that practitioners can use this approach for taking other strategic decisions. The supply chain configuration can be decided subsequently which will yield more practical results and the decision taken will be more fruitful for firm. Originality/value – The extensive literature review reveals that there are many models in the literature that addressed the issue of risk minimization in supply chain, but it was also noticed that there are limited number of models that minimize risk in locating a global facility considering the uncertainty of data in decision making. This is the first time that grey-based MCDM approach is formulated and used to find most suitable facility location under risk.

scholarly journals Robust facility location decisions for resilient sustainable supply chain performance in the face of disruptions

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Balan Sundarakani ◽  
Vijay Pereira ◽  
Alessio Ishizaka
Keyword(s):  
Supply Chain ◽  
Facility Location ◽  
Global Supply Chain ◽  
Mixed Integer ◽  
Future Research ◽  
Location Decisions ◽  
Supply Chain Network ◽  
Content Type ◽  
Trade Offs ◽  
Global Logistics

PurposeFacility location and re-location decisions are critical managerial decisions in modern supply chains. Such decisions are difficult in this environment as managers encounter uncertainty and risks. The study investigates establishing or moving distribution facilities in the global supply chain by considering costs, fulfilment, trade uncertainties, risks under environmental trade-offs and disruptive technologies.Design/methodology/approachThis paper combines the possibilities and probabilistic scenarios for a supply chain network by proposing the novel Robust Optimisation and Mixed Integer Linear Programming (ROMILP) method developed under the potential uncertainty of demand while considering the costs associated with a four-tier supply chain network. ROMILP has been solved in a real-time logistics environment by applying a case study approach.FindingsThe solution is obtained using an exact solution approach and provides optimality in all tested market scenarios along the proposed global logistics corridor. A sensitivity analysis examines potential facility location scenarios in a global supply chain context.Research limitations/implicationsLogistics managers can apply the ROMILP model to test the cost-benefit trade-offs against their facility location and relocation decisions while operating under uncertainty. Future research is proposed to extend the literature by applying data from the OBOR logistics corridor.Originality/valueThis study is the first to examine sustainable dimensions along the global logistics corridor and investigate the global container traffic perspective. The study also adds value to the Middle East logistics corridor regarding facility location decisions.

RELATIONSHIP-BASED PRODUCT INNOVATIONS: EVIDENCE FROM THE GLOBAL SUPPLY CHAIN

2016 ◽  
Author(s):  
Ruey Jer “Bryan” Jean ◽  
Daekwan Kim ◽  
Daniel C. Bello
Keyword(s):  
Supply Chain ◽  
Global Supply Chain ◽  
Product Innovations
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