Dynamic pricing and ordering decisions by a monopolist
Management Science
Economic production lot size for deteriorating items taking account of the time-value of money
Computers and Operations Research
Computers and Industrial Engineering
Optimal price and order size for a reseller under partial backordering
Computers and Operations Research
Combined Pricing and Inventory Control Under Uncertainty
Operations Research
Computers and Operations Research
Designing And Managing The Supply Chain
Designing And Managing The Supply Chain
Survey paper: A survey on the recent research literature on ERP systems
Computers in Industry - Special issue: Current trends in ERP implementations and utilisation
Development of a marketing information system for supporting sales in a Tea-beverage market
Expert Systems with Applications: An International Journal
Survey paper: A survey on the recent research literature on ERP systems
Computers in Industry - Special issue: Current trends in ERP implementations and utilisation
Dynamic ordering and pricing for a perishable goods supply chain
Computers and Industrial Engineering
Dynamic selling of quality-graded products under demand uncertainties
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Journal of Computational and Applied Mathematics
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Although the lately evolved manufacturing technologies such as enterprise resource planning (ERP) provide a unified platform for managing and integrating core business processes within a firm, the decision-making between marketing and production planning still remains rather disjoint. It is due in large parts to the inherent weaknesses of ERP such as the fixed and static parameter settings and uncapacitated assumption. To rectify these drawbacks, we propose a decision model that solves optimally the production lot-size/scheduling problem taking into account the dynamic aspects of customer's demand as well as the restriction of finite capacity in a plant. More specifically, we consider a single product that is subject to continuous decay, faces a price-dependent and time-varying demand, and time-varying deteriorating rate, production rate, and variable production cost, with the objective of maximizing the profit stream over multi-period planning horizon. We propose both coordinated and decentralized decision-making policies that drive the solution of the multivariate maximization problem. Both policies are formulated as dynamic programming models and solved by numerical search techniques. In our numerical experiments, the solution procedure is demonstrated, comparative study is conducted, and sensitivity analysis is carried out with respect to major parameters. The numerical result shows that the solution generated by the coordinated policy outperforms that by the decentralized policy in maximizing net profit and many other quantifiable measures such as minimizing inventory investment and storage capacity.