Single machine scheduling using dominance relation to minimize earliness subject to ready and due times

Article Abstract:

A single machine scheduling problem in which every job is available for processing on the ready time of each job, thus preventing processing before the time, is studied. The problem also stipulates that every job must be completed before or just on the due time of each job and requires that no jobs operating behind schedule will be allowed. To determine the optimum solution to the problem, an organization algorithm using dominance relation for a scheduling problem based on the branch-and-bound method is proposed.

Models, Usage, Scheduling (Management), Algorithms

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Common order cycle system for multi-item inventory model with learning in ordering and transportation

Article Abstract:

The common order cycle system is extended to account for a multi-item inventory case with learning in ordering and transportation. The system is evaluated in terms of heuristic methods based on optimal ordering cycle time, optimal ordering quantity, optimal ordering cost and product of demand and holding cost per item. The last heuristic method showed the best possible conditions for efficiency and simplicity.

Inventory control, Order picking systems, Order picking

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Optimal pricing and product-planning for new multiattribute products based on conjoint analysis

Article Abstract:

The use of conjoint analysis for the optimal pricing and product planning of new multiattribute products is considered. The approach, which quantifies consumer preferences, employs a trade-off approach to the rank orders data of preference for measuring the utility values of attribute levels. To address its time-consuming and error-prone nature, the full-profiles approach is introduced and illustrated.

Pricing, Marketing research, Consumer preferences, Market research

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