Production lot sizing with a secondary outsourcing facility

Lee, Shine Der; Lan, Shu Chuan

doi:10.1016/j.ijpe.2012.09.008

Cited by 6 publications

(1 citation statement)

References 21 publications

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“…Coman and Ronen [28] introduced a linear programming problem in which they considered outsourcing. An extended EPQ model with outsourcing with a secondary utilization, manufacturing planning, inventory control, and stochastic demand was considered by Lee and Lan [29]. Hahn et al [30] developed a situation-based nonparametric positioning approach to identify valuable outsourcing choices at the essential level.…”

Section: Outsourcingmentioning

confidence: 99%

Controllable Energy Consumption in a Sustainable Smart Manufacturing Model Considering Superior Service, Flexible Demand, and Partial Outsourcing

et al. 2022

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The waste of energy in the present era is a dangerous signal for the future. All categories of consumers should come forward to moderate energy use and prevent wastage. This study focuses on a controllable energy consumption-based sustainable inventory model incorporating variable production rates, improved service, partial outsourcing planning, defective production, restoring reworkable items, disposing of non-reworkable items, and energy-saving steps. Reducing unusual energy consumption in production systems reduces carbon emissions and maximizes the system’s profit. An improved service level attracts customers, increases demand, and improves product reputation. Separate holding costs of reworked, defective, and perfect-quality items are considered for every lot delivered and reworked. The demand in the market is related to price and service. A traditional optimization technique examines the global optimization for the profit function and decision variables. Numerical illustrations as well as concave 3D graphs validate the analytical results and provide a sensitivity analysis for different parameters. The model is validated through special cases and comparison graphs.

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Section: Outsourcingmentioning

confidence: 99%