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Integrated production scheduling and batch delivery with fixed departure times and inventory holding costs

机译:集成的生产计划和批量交付,具有固定的出发时间和库存持有成本

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摘要

In this paper, we address a model for supply chain coordination. There are m manufacturers modelled as single machines, each of which processes a specific set of jobs (products). After processing is completed, jobs are batched, and batches are shipped to a customer by means of vehicles. The problem consists in concurrently finding a production schedule of the jobs, a partition of jobs into delivery batches and an assignment of delivery batches to vehicles, so that jobs are delivered within their deadlines and total costs are minimised. We focus on a scenario characterised by fixed departure times and inventory holding costs. For each departure time there is a given number of vehicles, possibly having limited capacity. Each job incurs a cost proportional to the time from job completion to delivery departure. In this paper, we show that the problem is NP-hard even for a very restricted case, and report various polynomiality results for two scenarios, namely: (i) when the production sequence of each manufacturer is fixed in advance, and (ii) when there is a single manufacturer and processing times are all equal to 1. We also point out several open problems.
机译:在本文中,我们提出了一个供应链协调模型。有m个制造商被建模为单台机器,每个制造商都处理一组特定的作业(产品)。处理完成后,将作业进行批处理,然后通过车辆将批处理装运给客户。问题在于同时找到作业的生产计划,将作业划分为交货批次并将交货批次分配给车辆,以便在规定的期限内交货并最大程度地降低总成本。我们专注于以固定出发时间和库存持有成本为特征的场景。对于每个出发时间,都有一定数量的车辆,可能载客量有限。每个工作所产生的成本与从完成工作到交付交货的时间成正比。在本文中,我们表明即使在非常有限的情况下,问题也是NP难的,并且报告了两种情况的各种多项式结果,即:(i)预先确定每个制造商的生产顺序,以及(ii)当只有一个制造商并且处理时间都等于1时。我们还指出了几个未解决的问题。

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