Multi-stage supply chain network solution methods: hybrid metaheuristics and performance measurement

2017 ◽  
Vol 5 (4) ◽  
pp. 356-373 ◽  
Author(s):  
Madjid Tavana ◽  
Francisco J. Santos-Arteaga ◽  
Ali Mahmoodirad ◽  
Sadegh Niroomand ◽  
Masoud Sanei
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Supply Chain Network ◽  
Hybrid Metaheuristics ◽  
Network Solution ◽  
Multi Stage ◽  
Solution Methods ◽  
And Performance

Supply Chain Performance Measurement and Organizational Alignment in the Digital World

2019 ◽  
pp. 128-154
Author(s):  
Ehap Sabri ◽  
Rohan Vishwasrao
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Balanced Scorecard ◽  
Maturity Model ◽  
Maturity Models ◽  
Strategic Objectives ◽  
The Balanced Scorecard ◽  
Digital World ◽  
Road Map ◽  
And Performance

The authors describe how organizations can leverage the maturity model approach in conjunction with foundational concepts of perspective-based performance evaluation models like the balanced scorecard (BSC) to define a comprehensive performance measurement framework. A maturity model by design provides a road-map to the next level of performance. In this chapter, the authors propose using maturity models as a structured way of identifying current capability or maturity level of any supply chain. The authors provide guidance on selecting the right “causal linkages” between supply chain objectives and performance measures. They then define a mechanism for specifying even more granular definitions of measures linked to strategic objectives, as the level of maturity progresses. In this chapter, the authors survey widely used supply chain/business process maturity models and current practices related to measuring operational metric. And then present a tiered framework for operational metric alignment and KPI governance based on perspective-based modeling design principles.

scholarly journals Designing a Supply Chain Network under the Risk of Disruptions

2012 ◽  
Vol 2012 ◽  
pp. 1-23 ◽  
Author(s):  
Armin Jabbarzadeh ◽  
Seyed Gholamreza Jalali Naini ◽  
Hamid Davoudpour ◽  
Nader Azad
Keyword(s):  
Supply Chain ◽  
Supply Chain Design ◽  
Mixed Integer ◽  
Nonlinear Program ◽  
Supply Chain Network ◽  
Large Problem ◽  
Solution Methods ◽  
Total Profit ◽  
Order Quantities ◽  
Problem Instances

This paper studies a supply chain design problem with the risk of disruptions at facilities. At any point of time, the facilities are subject to various types of disruptions caused by natural disasters, man-made defections, and equipment breakdowns. We formulate the problem as a mixed-integer nonlinear program which maximizes the total profit for the whole system. The model simultaneously determines the number and location of facilities, the subset of customers to serve, the assignment of customers to facilities, and the cycle-order quantities at facilities. In order to obtain near-optimal solutions with reasonable computational requirements for large problem instances, two solution methods based on Lagrangian relaxation and genetic algorithm are developed. The effectiveness of the proposed solution approaches is shown using numerical experiments. The computational results, in addition, demonstrate that the benefits of considering disruptions in the supply chain design model can be significant.

scholarly journals Hybrid Electromagnetism-Like Algorithm for Dynamic Supply Chain Network Design under Traffic Congestion and Uncertainty

2016 ◽  
Vol 2016 ◽  
pp. 1-18 ◽  
Author(s):  
Javid Jouzdani ◽  
Mohammad Fathian
Keyword(s):  
Supply Chain ◽  
Traffic Congestion ◽  
Mixed Integer ◽  
Supply Chain Network ◽  
Business Climate ◽  
Time Value Of Money ◽  
Solution Methods ◽  
Minlp Model ◽  
Minlp Problem ◽  
Conventional Solution

With the constantly increasing pressure of the competitive environment, supply chain (SC) decision makers are forced to consider several aspects of business climate. More specifically, they should take into account the endogenous features (e.g., available means of transportation, and the variety of products) and exogenous criteria (e.g., the environmental uncertainty, and transportation system conditions). In this paper, a mixed integer nonlinear programming (MINLP) model for dynamic design of a supply chain network is proposed. In this model, multiple products and multiple transportation modes, the time value of money, traffic congestion, and both supply-side and demand-side uncertainties are considered. Due to the complexity of such models, conventional solution methods are not applicable; therefore, two hybrid Electromagnetism-Like Algorithms (EMA) are designed and discussed for tackling the problem. The numerical results show the applicability of the proposed model and the capabilities of the solution approaches to the MINLP problem.

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