Analytics in operations/supply chain management
Material type: TextPublication details: New Delhi I.K. International Publishing House 2016Description: x, 642 pISBN:- 9789384588946
- 658.4034 MAT
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Book | Indian Institute of Management LRC General Stacks | Operations Management & Quantitative Techniques | 658.4034 MAT (Browse shelf(Opens below)) | 1 | Available | 000842 |
Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: Operations Management & Quantitative Techniques Close shelf browser (Hides shelf browser)
658.4034 HIL Introduction to operations research | 658.4034 HIL Introduction to operations research | 658.4034 HIL Introduction to operations research | 658.4034 MAT Analytics in operations/supply chain management | 658.4034 PAN Operations research | 658.4034 PRA Operations research | 658.4034 SEN Operations research: algorithms and applications |
Part I - Analytics for Operations Strategy
Part II - Analytics for Performance Evaluation
Part III - Analytics for Resource Planning/Allocation
Part IV - Analytics for Sequencing and Scheduling
Part V - Analytics in Product/Process Management
Part VI - Supply Chain Analytics.
Efficient and effective Operations/Supply Chain Management forms the key functional area in defining an organization's success in today's competitive global environment. This Symposium Proceedings focuses on the role of Analytics in Operations /Supply Chain Management, particularly in the context of multi criteria decision making. It highlights emerging concepts and potential applications in descriptive, predictive and prescriptive analytics fields. The 46 articles presented in the proceedings are from over 100 contributors from academics and industry. These 46 articles are classified into 6 groups based on the main theme of the respective studies. These groups are: (1) Analytics for Operations Strategy; (2) Analytics for Performance Analysis; (3) Analytics for Resource Planning/Allocation; (4) Analytics for Sequencing and Scheduling; (5) Analytics for Product/Process Management; and (6) Supply Chain Analytics.
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