Advances in Industrial Engineering Advances in Industrial Engineering
- A Location-Inventory Model for Multi-Product Supply Chain with Perishable Products and Price-Dependent Demandel febrero 29, 2024 a las 2:39 am
One of the most challenging tasks in the perishable products industry is to control the inventory of products and find the optimum location to store them. This paper tries to respond to these challenges in a way that is close to reality. In this paper, a location-inventory model has been studied for a supply chain with perishable products, considering the dependence of demand to price. The investigated multi-product and multi-period supply chain includes manufacturers, distributors, retailers and customers. Products and centers of this chain are equipped with Radio Frequency Identification (RFID) technology. The location-inventory model, by simultaneously capturing strategic, tactical and operational decisions, can be very effective in increasing the supply chain efficiency. For this purpose, a mixed integer nonlinear programming model is presented. The purpose of the model is to maximize the profitability of the supply chain, which is achieved by the simultaneous decision-making of location, inventory, pricing and demand. Finally, in order to show the efficiency of the proposed model, numerous examples with various parameters are solved and sensitivity analysis is done. The results show that as the dependence of customer demands on price increases, it is inevitable that the supply chain sells the product to customers at a lower price and lower profit, and this causes an extreme decrease in supply chain profit. The lower dependence on the supply chain results in higher profit.
- A robust model for supplier selection and inventory management in a discrete spaceel febrero 29, 2024 a las 2:39 am
Uncertainty in the form demand fluctuation has been determined as one of a most affecting source of risk in supply chain management problems. This paper aims at determining the optimal supplier selection, order allocation and synchronizing delivery process of a single product in a supply chain with several suppliers and a single buyer considering uncertain demand. The complexity of the model is related to the lot sizing scheme in which the inventory is accumulated at the buyer’s warehouse. Proposed model considers total cost of the whole supply chain under demand sets related to different economic situations. A robust model is then proposed using a convex nonlinear scenario based stochastic programming where the objective is to minimize the total system expected cost. Finally, we conduct several numerical studies to evaluate the performance of the proposed model and study the effect of variation of the scenario set data on the model outputs.
- Fault tree analysis integrated with DFMEA approach and combined AHP-TOPSIS technique to improve product configuration considering reliability and total cost, a real-life case studyel febrero 29, 2024 a las 2:39 am
Product configuration plays a vital role in product customization. Customers require products with reasonable cost and reliability, so manufacturers should exchange between reliability and production cost through product configuration. To investigate this problem, a novel combined FTA-DFMEA method is presented that implements integrated AHP-TOPSIS to improve product configuration. In this procedure, customer’s needs and market’s feedbacks are considered to identify possible product failures, and an integrated AHP-TOPSIS is applied in order to select the most crucial potential failure based on some identified and extracted criteria. Then, minimal paths are obtained through fault tree analysis and an inverse search method is done to identify related functions and defective components. Failure modes and effect analysis is implemented to conclude modes of failure, effects, and causes. Subsequently, a combined AHP-TOPSIS method is utilized for ranking failure modes and selecting the most crucial failure mode. Failure modes are addressed according to their importance and corrective actions are carried out to improve product configuration. Suppliers with various policies, reliability, warranty and purchasing costs are considered. In addition, for the first time all configuration models like series, parallel, and joint series-parallel as well as redundancy allocation are taken into consideration. A minimum improvement index is considered, which is determined by the decision-maker based on risk-averseness. Eventually, a case study of a laptop system is introduced to evaluate the practicality of the developed algorithm. The results indicate that the proposed method creates different efficient alternatives for the decision-maker to enhance reliability, total costs, and product configuration.
- Economic design of integrated production planning model based on adaptive synthetic EWMA control chart and maintenance policiesel febrero 29, 2024 a las 2:39 am
Control charts and maintenance policies are two key tools in the production management. Although there is a close relationship between these areas, in fact, usually they are separately examined and independently used. In order to be closer to the reality, this paper deals with the economic design of an integrated model of production planning based on synthetic adaptive control chart of EWMA. Also, in order to reduce the rate of machine failure, two types of maintenance methods such as reactive maintenance (RM) and preventive maintenance (PM) are considered. Afterward the particle swarm metaheuristic optimization algorithm is used to minimize the total cost of each production cycle due to the statistical quality constraints. A comparative study has also been performed to show the effect of using control charts with variable sampling intervals on total cost. The effects of model parameters on the optimization policies are investigated through the sensitivity analysis. Finally, the results are compared to other studies to show the performance of the proposed method.
- Flexible flowshop scheduling problem considering manpower skill-based processing timesel febrero 29, 2024 a las 2:39 am
Scheduling for flexible flowshop environments are generally limited by resources such as manpower and machines. However, the majority of efforts tackle machines as the only constrained resource. This paper aims to investigate the problem of scheduling in flexible flowshop environments considering different skills as human resource constraints to minimize the total completion time. In this way, a mathematical model of complex integer linear programming is presented for solving small-sized problems in a reasonable computational time. In addition, due to the NP-hard nature of the problem, a whale hybrid optimization algorithm is tuned to solve the problem on the large-sized dimensions. In order to evaluate performance of the proposed optimization algorithm, the results are compared with five known optimization algorithms the research background. All evaluations and results show the good performance of the whale hybrid algorithm. Especially, the final solution of the proposed algorithm shows 0.75% deviation of the best solution in solving different instances on the large-scale sizes. However, genetic algorithm, memetic global and local search algorithm, and hybrid salp swarm algorithm are in the next ranks with 3.31, 3.52, and 4.02 percentage respectively. In addition, proper discussions and managerial insights are provided for the relevant managers.