Datasets on mathematical modeling of multi-product multi-stage production to analyze the relationship between production yield, demand, and costs

The data presented in this article are related to the research article “Optimal procurement and production planning for multi-product multi-stage production under yield uncertainty” (Talay and Özdemir-Akyıldırım, in press) [1]. The data includes: 1) the input parameters (production yield, demand, and costs) collected through comprehensive review of the literature and diversified further to enrich the analytical results, and 2) results from mathematical modeling and analysis on the optimal procurement and semi-processed material allocation decisions for different parameter sets. The dataset is particularly constructed for a production system with two stages and three final products.No sponso

Cold chain logistics for frozen food at tourism destinations

Purpose- The purpose of this paper is to explore possible distribution system models of cold chain logistics for frozen food producers serving to tourism enterprises. Methodology- The data were collected through multiple case study method. The firms interviewed were chosen from the most visited touristic destination in Turkey, Antalya. These firms differed in size and the types of products. Findings- We have observed significant differences in cold chains for tourism and 3PL-oriented retail sectors. The firms serving to tourism sector generally choose not to use 3PLs due to issues on food safety/quality despite the advantages in investment costs. Conclusion- We conclude that the reasons for the reluctance of the producers to work with 3PL providers was the very hot weather and frequent stops made at hospitality facilities which leave the cold chain prone to temperature changes and product damage as well as the high demand during peak seasons which lead to urgent order requests nonconforming to 3PL service schedules.No sponso

Optimal staffing of specialized programme trainees under uncertainty

We propose a stochastic model and provide an easy-to-implement optimization tool for admission decisions to specialized training programmes designed for service industries. The model can be applied for staffing of trainees in medical residency programmes, vocational schools, management trainee programmes, and similar. Especially towards graduation, trainees in these programmes substantially contribute to workforce of their affiliated institutions, thus having a targeted number of advanced level students become a potential performance metric for administration. For uncertain attrition rates and study duration, we model and provide an iterative solution algorithm to find the optimal annual admission number for these programmes. Our numeric analysis results show that the solution is robust to changes in attrition and study duration probabilities; hence, our model is robust against specification errors for these parameters, which could be hard to estimate due to data unavailability and fluctuations in educational and economic conditions.No sponso

Optimal procurement and production planning for multi-product multi-stage production under yield uncertainty

Many products with several types are produced in more than one production stage subject to various potential complications, yield uncertainty being a very costly one. This study investigates the input procurement and semi-processed item allocation decisions of a producer in a multi-product-type and two-stage production system subject to yield uncertainty. A make-to-order production environment with deterministic production leadtimes is considered. For the problem, a discrete stochastic optimization model with binomial yield at each production stage is proposed. Optimal solution is determined with a novel solution algorithm developed by showing the convexity of the problem. The model is applicable not only to production in industries such as chemical, electronic, and mechanical manufacturing, but also to process types such as transportation and remanufacturing. As result of a comprehensive sensitivity analysis, it is found that improving yield in a single stage may not be effective in ensuring cost savings, improvements in different stages should be considered together. More interestingly, higher demand does not always lead to higher production, in contrast it may even reduce production amounts under yield uncertainty.No sponso