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Article(electronic)#22016
Reconstructing Renewable Energy: Making Wind and Solar Power Dispatchable, Reliable and Efficient
In: International Journal of Energy Economics and Policy 2016
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Article(electronic)#32015
Evidence on U.S. Electricity Prices: Regulated Utility vs. Restructured States
In: International Journal of Energy Economics and Policy 2015
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Article(electronic)#42015
Texas Interconnection Grid: Economic Optimal Capacity Utilization Rate Evidence
In: International Journal of Energy Economics and Policy 2015
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Article(electronic)#52014
U.S. Electrical System Reliability: Deregulated Retail Choice States' Evidence and Market Modeling
In: International Journal of Energy Economics and Policy 2014
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Article(electronic)#62013
Competitive Market Economies: Self-Regulating Markets vs. Economic Stability, and the Paradox of Change
In: Journal of Business, Economics & Finnace 2013
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Article(electronic)#71989
Master Project Planning: Scope, Time and Cost
In: Project Management Journal 1989
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Article(electronic)#81989
MRP Lot Sizing with Variable Production/Purchasing Costs: Formulation and Solution
In: International Journal of Production Research 1989
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Article(electronic)#91989
Efficient Heuristics for MRP Lot Sizing with Variable Production/Purchasing Costs
In: Decision Sciences 1989
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Article(electronic)#122016
Leadership: A Case Study on the Importance of Ethics and Trust
In: Journal of Business 2016
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Article(electronic)#13September 1989
Efficient Heuristics for MRP Lot Sizing with Variable Production/Purchasing Costs*
In: Decision sciences, Volume 20, Issue 3, p. 439-450
ISSN: 1540-5915
ABSTRACTTwo heuristics based on branch and bound (B&B) are developed to solve closed‐loop material requirements planning (MRP) lot‐sizing problems that have general product structures and variable costs. A "look ahead method''(LAM) heuristic allows for variable production/purchasing costs and uses a single‐level B&B procedure to rapidly improve lower bound values; thus, LAM efficiently uses computer‐storage capacity and allows solution of larger problems. The "total average modification''(TAM) heuristic uses B&B, applied level by level, and modified setup and carrying costs to solve the variable production/purchasing costs MRP lot‐sizing problem. LAM and TAM are tested on problems and compared to heuristics in the literature. TAM may be used to solve large MRP lot‐sizing problems encountered in practice.
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