{"title":"An economic production quantity inventory model with a defective production system and uncertain uptime","authors":"A. H. Nobil, A. Sedigh","doi":"10.1504/IJIR.2017.10009652","DOIUrl":"https://doi.org/10.1504/IJIR.2017.10009652","url":null,"abstract":"In this study, a fuzzy mathematical programming for an inventory system with defective items is considered. The system consists of a single machine that requires maintenance to enhance its efficiency, performance and lifespan. Due to the environmental uncertainties, uptime is estimated based on the linguistic variables, i.e., experts' opinions. So, the inherited uptime is a fuzzy number in trapezoid form, i.e., machine works certainly up to a time and it fails with an optimistic and pessimistic estimation. Moreover, machinery should go through a preventive maintenance procedure during downtime. The proposed model helps production managers to reduce system costs by improving machine efficiency and performance employing appropriate maintenance policies. To solve the proposed problem, we optimise system costs by calculating optimum production cycle using an algorithm to calculate upper and lower bounds of inherited crisp problem. Finally, a numerical example is represented to investigate the effectiveness of the proposed algorithm.","PeriodicalId":113309,"journal":{"name":"International Journal of Inventory Research","volume":"1405 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132608819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Supply chain network design under uncertain demand: robust and stable optimisation approaches","authors":"S. Zanoni, I. Ferretti, L. Mazzoldi","doi":"10.1504/IJIR.2017.10009657","DOIUrl":"https://doi.org/10.1504/IJIR.2017.10009657","url":null,"abstract":"This paper is focused on the design of a supply chain taking into account the variability of the final customer demand: the traditional strategy for the network configurations so as to face such uncertainty, named robust approach, to seek the minimum expected total cost over the planning horizon. The novelty of this contribution resides in the investigation of an alternative way to face the uncertainty, named stable approach, which aim is to determine the minimum variability of transport and handling cost in the considered time horizon. The goal is the definition of the network configuration that can efficiently operate under the uncertainty of the customer demand, to this extent the solutions of the robust and the stable approaches have been compared. A numerical analysis has been performed over a realistic case study data and results of robust and stable and hybrid solutions have been reported.","PeriodicalId":113309,"journal":{"name":"International Journal of Inventory Research","volume":"12 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116757702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal replenishment policy for price dependent demand in different financial scenario under fuzzy environment","authors":"A. Sharma, C. Jaggi, S. Tiwari","doi":"10.1504/IJIR.2017.10009650","DOIUrl":"https://doi.org/10.1504/IJIR.2017.10009650","url":null,"abstract":"In literatures of inventory models with permissible delay in payments, authors assumed that retailers have to settle their accounts at the end of credit period and accept only full amount at that time. However, supplier may accept the partial amount at the end of the credit period with unpaid balance settled in due course or he may also accept the full amount at a fix point after the expiry of the credit period instead of accepting the partial payment. Hence in this direction, this paper establishes an inventory model which incorporates the above discussed realistic approach for settling the accounts when supplier offers permissible delay in payments under fuzzy environment. In order to obtain the validity of the model, two hypothetical examples solve by proposed algorithm and a comprehensive sensitivity analyses has been performed to measure the robustness of model.","PeriodicalId":113309,"journal":{"name":"International Journal of Inventory Research","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117066216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Coordination with no risk sharing and risk sharing discount contracts in two echelon supply chains","authors":"M. Zarea, M. Esmaeili","doi":"10.1504/IJIR.2017.10009663","DOIUrl":"https://doi.org/10.1504/IJIR.2017.10009663","url":null,"abstract":"Production and procurement management in a supply chain are considerably affected by random yield. This paper considers a supply chain that includes a supplier who is faced with random yield production and two retailers who are faced with uncertain demand. Using Stackelberg game, two models are presented regarding discount coordination retailers with respect to the risk sharing and no risk sharing contracts. The supplier specifies quantity discount percentage and a wholesale price. Then, retailers determine their optimal order quantity in which their profit is maximised. Finally, the supplier determines the production quantity. Moreover, comparing the contracts shows that how the supply chain's performance enhances under certain conditions in risk sharing contract. Furthermore, numerical examples are presented to illustrate the presented models.","PeriodicalId":113309,"journal":{"name":"International Journal of Inventory Research","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130345302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Replenishment policy in a logistics system with environmental considerations","authors":"A. Taleizadeh, Vahid Reza Soleimanfar, J. Sicilia","doi":"10.1504/IJIR.2017.10009644","DOIUrl":"https://doi.org/10.1504/IJIR.2017.10009644","url":null,"abstract":"One of the most applicable models in inventory and production planning is the economic lot sizing model, which recently extended by environmental considerations and the sustainability concept. The theoretical sustainable lot sizing model is only a basic model that ignores many real-world conditions in the modern cloud manufacturing environments, for example, the possibility of shortage and stockout in the inventory system. In this work, we have presented new sustainable lot-sizing models in which different shortage conditions are considered. We developed a basic model for the time that shortage in not allowed, and full lost sale, full backordering and partial backordering models when shortages are allowed. We proposed an integrated procedure for determining the optimal values of the variables of the proposed models. The models and proposed procedure application are illustrated with numerical examples based on an Iranian petrochemical company's data. Finally, applying sensitivity analysis, the model's results have been analysed and discussed. These results show that the partial backordering case is a general and more realistic model which can be used in many real cases.","PeriodicalId":113309,"journal":{"name":"International Journal of Inventory Research","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125578084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of inventory sharing on service availability and transportation levels in time-differentiated distribution","authors":"M. Jat, R. Rafique","doi":"10.1504/IJIR.2017.10006052","DOIUrl":"https://doi.org/10.1504/IJIR.2017.10006052","url":null,"abstract":"This paper studies service availability and transportation performance measures considering a service system with two delivery time-window options. The performance measures are examined through a simulation analysis comparing inventory sharing and non-sharing scenarios under a centralised and a decentralised setup of service facilities. The analysis considers varying demand composition in terms of demand percentages of different service time options. Unlike the existing work in this area, the paper takes into account the spatial factor and argues that considering a uniform cost of alternate shipments may not be appropriate. The analysis highlights that there might be instances where introducing inventory sharing does not implicate an inventory-transportation performance trade off.","PeriodicalId":113309,"journal":{"name":"International Journal of Inventory Research","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125822372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A stochastic lot sizing model with partial backordering and imperfect production processes","authors":"A. Taleizadeh, Negin Zamani-Dehkordi","doi":"10.1504/IJIR.2017.10006035","DOIUrl":"https://doi.org/10.1504/IJIR.2017.10006035","url":null,"abstract":"This research presents an inventory system with partial backordering and imperfect process with a stochastic numbers of products that are defective per order. This problem is known and there are some customers that do not wait for their orders to be fulfilled so a particular proportion of backordered items become lost sales. This paper considers both mentioned situations simultaneously while the number of defective items follows a uniform distribution and the proportion of backordering is constant. This condition is modelled. The cost function of this inventory model includes order cost, holding cost and two types of shortage costs, one of them is related to backordered items and the other one is related to lost sales. This paper also provides a solution method to obtain optimum values for the decision variables, order quantity and total shortage, then we derive the value of the total cost function according to the optimum values obtained for the decision variables. Finally, some numerical results and diagrams are provided to show how some parameters affect the values of the decision variables and the cost function.","PeriodicalId":113309,"journal":{"name":"International Journal of Inventory Research","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121704463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of inventory class performance utilising inventory turn and days on hand","authors":"J. Jatta, K. Krishnan","doi":"10.1504/IJIR.2017.10006046","DOIUrl":"https://doi.org/10.1504/IJIR.2017.10006046","url":null,"abstract":"Inventory performance is typically based on individual SKU rather than on class of SKUs. This research evaluates ABC inventory classes for performance based on class inventory turn. Multiple multi-criteria inventory control (MCIC) models are used to classify 47 stock-keeping units into A, B, and C categories and their ABC classes' annual performance evaluated for each model. The results show that A-class consistently has highest turns than B and C classes. For the eight models evaluated all but the R-model show higher turns for A class than both B or C class. B and C classes turn inventory relatively the same number of times with the exception of the R-model. The R-model turns C-class inventory higher than A-class or B-class inventory contrary to ABC principles. The results show that inventory classification can be limited to A and B classes instead of the numerous classes sometimes recommended and practiced in many firms.","PeriodicalId":113309,"journal":{"name":"International Journal of Inventory Research","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127969037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cooperative advertising in a closed-loop supply chain to encourage customers to return their used products","authors":"A. Farshbaf-Geranmayeh, M. Rabbani, A. Taleizadeh","doi":"10.1504/IJIR.2017.10006043","DOIUrl":"https://doi.org/10.1504/IJIR.2017.10006043","url":null,"abstract":"In this paper, two non-cooperatives and one cooperative game are established in order to investigate the effectiveness of cooperative advertising in a closed-loop supply chain with one manufacturer and one retailer. In a closed-loop supply chain, companies tend to increase the return rate of used products. Therefore, the retailer spends for green advertising in order to encourage customers to return their used products by increasing their concerns and awareness about environmental issues. On the other hand, the manufacturer spends on national advertising to create an image of the product and enhance its sale. Since in the manufacturer's point of view, remanufacturing used products is more profitable than manufacturing new ones, he prefers to give some incentives such as participating in the retailer's green advertising expenditure and paying return costs per unit of returned products to the retailer to collect more used products. Results show that both channel members spend their highest and lowest advertising expenditures in cooperative and Nash game, respectively. Also, the higher the differences between the costs of manufacturing new and remanufacturing used products, the more willing the manufacturer is to participate in the retailer's green advertising expenditure.","PeriodicalId":113309,"journal":{"name":"International Journal of Inventory Research","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126563895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the viability of partial inventory pooling","authors":"Y. Gerchak","doi":"10.1504/IJIR.2017.10006034","DOIUrl":"https://doi.org/10.1504/IJIR.2017.10006034","url":null,"abstract":"When demands are uncertain, complete inventory pooling is known to be a better strategy than no pooling if the trans-shipment cost is low enough; otherwise, pooling is undesirable. But are there situations where pooling some inventories, but not the rest, in a central warehouse, are the best strategy? We show that such is indeed the case for certain demand distributions and cost parameter values. We show it for a symmetric discrete demand scenario, as well as for a symmetric continuous demand scenario.","PeriodicalId":113309,"journal":{"name":"International Journal of Inventory Research","volume":"27 17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133255585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}