Order Assignment and Scheduling in a Supply Chain
Operations Research
Fuzzy-genetic approach to aggregate production-distribution planning in supply chain management
Information Sciences: an International Journal
Single machine scheduling with release dates and job delivery to minimize the makespan
Theoretical Computer Science
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Synchronizing production and air transportation scheduling using mathematical programming models
Journal of Computational and Applied Mathematics
Robust supply chain design under uncertain demand in agile manufacturing
Computers and Operations Research
Machine scheduling with job class setup and delivery considerations
Computers and Operations Research
Production-transportation scheduling model on a single batching machine
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
An improved approximation algorithm for single machine scheduling with job delivery
Theoretical Computer Science
Capacity Allocation and Scheduling in Supply Chains
Operations Research
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Scheduling optimisation for supply chain in networked manufacturing
International Journal of Computer Applications in Technology
Unbounded parallel-batch scheduling with family jobs and delivery coordination
Information Processing Letters
A single machine scheduling problem with air transportation decision
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
Coordination in a two-stage production system: Complexity, conflict and cooperation
Computers and Operations Research
Supply Hub in Industrial Park (SHIP): The value of freight consolidation
Computers and Industrial Engineering
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Motivated by applications in the computer and food catering service industries, we study an integrated scheduling model of production and distribution operations. In this model, a set of jobs (i.e., customer orders) are first processed in a processing facility (e.g., manufacturing plant or service center) and then delivered to the customers directly without intermediate inventory. The problem is to find a joint schedule of production and distribution such that an objective function that takes into account both customer service level and total distribution cost is optimized. Customer service level is measured by a function of the times when the jobs are delivered to the customers. The distribution cost of a delivery shipment consists of a fixed charge and a variable cost proportional to the total distance of the route taken by the shipment. We study two classes of problems under this integrated scheduling model. In the first class of problems, customer service is measured by the average time when the jobs are delivered to the customers; in the second class, customer service is measured by the maximum time when the jobs are delivered to the customers. Two machine configurations in the processing facility--single machine and parallel machine--are considered. For each of the problems studied, we provide an efficient exact algorithm, or a proof of intractability accompanied by a heuristic algorithm with worst-case and asymptotic performance analysis. Computational experiments demonstrate that the heuristics developed are capable of generating near-optimal solutions. We also investigate the possible benefit of using the proposed integrated model relative to a sequential model where production and distribution operations are scheduled sequentially and separately. Computational tests show that in many cases a significant benefit can be achieved by integration.