| As make-to-order and customized products have become the new norm in modern manufacturing,the integrated and coordinated scheduling of the production and distribution chain is a necessity for manufacturers to reach a high level of supply chain management.For industrial production,processes such as integrated chip manufacturing,ceramic production,and medical sterilization services are often based on parallel batching(p-batch).When the manufacturer’s own production capacity is unable to respond to orders from the market,it is necessary to make an outsourcing selection of the job tasks in advance and outsource the selected jobs to an outsourcer.In this case,the manufacturer’s decision-making is required to take a total picture and a supply chain perspective on the individual components of production and distribution.It includes the three decision-making segments of job outsourcing selection,internal batch processing machine scheduling,and scheduling of finished products batch distribution.In this paper,the real-world problem of ceramic manufacturing company T is modeled under p-batch as integrated job outsourcing-production-distribution scheduling problem(IOPDSP)to address the operational reality of its production.Aim to achieve highquality joint scheduling optimization solutions in an integrated way,and further conclusions to form management recommendations for Company T’s decisions.An integrated outsourcing-production-distribution scheduling problem(IOPDSP)is considered with the strategy of batch delivery,in which the budget of the total outsourcing cost is subject to an upper limit,all jobs are from a single client,the job sizes are non-identical,and the available vehicles are sufficient.A 0-1 programming model is formulated to minimize the sum of total outsourcing cost,total batch processing cost,and total batch delivery cost(the total operational cost).Because of the NP-hardness of IOPDSP,an improved genetic algorithm(IGA)is proposed for solving it.A real-world IOPDSP instance from company T is applied to compare the solution performance of IGA and CPLEX software.It is found that the solution quality of the designed IGA can be equal to or better than that of the CPLEX within the limited time of one hour.Based on the IGA.Then,the integrated decision solution solved by IGA was compared with the current decision solution of Company T in order to check the role of the integrated decision solution in the education of the total cost of operation of the company.Finally,a sensitivity analysis is made by computer simulations on three factors in the above instance,which are the tolerance rate of the total outsourcing cost(η),time-of-use electricity price per unit,and type of distribution vehicles.The results show that the value of η cannot be less than 0.75 when the ceramic company has to plan the firing of ceramic bodies at the peak time of electricity consumption.In addition,when the ceramic company is on a highly tight budget for the total outsourcing cost,the total operational cost can decline by at most 29.17%and 12.15% via planning the firing of ceramic bodies at the off-peak time of electricity consumption and the appropriate selection among the given vehicle types,respectively.And further analysis of experiments on the selection of delivery vehicles for companies is made to give the preferred and alternative solutions for the selection of delivery vehicles.Based on the research above,the IGA designed in this paper can provide a decision for the scheduling of the differential job orders of company T.The IGA can function as a key component within the decision support system of a company’s operations,helping to integrate and coordinate the three decision processes.The optimized solutions and management advice can provide support for T’s operational management and decisions,as well as references and examples for cost reduction and efficiency improvement for T’s industry. |
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