Pub Date : 2019-05-28DOI: 10.1504/EJIE.2019.100015
A. Kundu, P. Guchhait, G. Panigrahi, M. Maiti
In the traditional supply chain models, it is observed that usually suppliers offer to the retailers a credit period and also the retailer to the customers to stimulate sales and reduce inventory. This practice of retailers increases the default risk of the percentage of customers not willing to pay back. In this paper, an inventory model has been developed under two levels of trade credit policy with customers' default risk consideration for a deteriorating item having a maximum lifetime. The supplier offers a partially permissible delay in payment per order and the retailer, in turn, provides a part of it to customers. Here, both demand and default risk are functions of the customer's trade credit period, whereas demand is also promotional effort sensitive. To mimic the changing market, the inventory costs are assumed to be imprecise. The models are illustrated numerically and some sensitivity analyses are presented. [Received: 13 January 2017; Revised: 14 September 2017; Revised: 10 June 2018; Accepted: 10 December 2018]
{"title":"An EOQ model for deteriorating item with promotional effort and credit linked demand","authors":"A. Kundu, P. Guchhait, G. Panigrahi, M. Maiti","doi":"10.1504/EJIE.2019.100015","DOIUrl":"https://doi.org/10.1504/EJIE.2019.100015","url":null,"abstract":"In the traditional supply chain models, it is observed that usually suppliers offer to the retailers a credit period and also the retailer to the customers to stimulate sales and reduce inventory. This practice of retailers increases the default risk of the percentage of customers not willing to pay back. In this paper, an inventory model has been developed under two levels of trade credit policy with customers' default risk consideration for a deteriorating item having a maximum lifetime. The supplier offers a partially permissible delay in payment per order and the retailer, in turn, provides a part of it to customers. Here, both demand and default risk are functions of the customer's trade credit period, whereas demand is also promotional effort sensitive. To mimic the changing market, the inventory costs are assumed to be imprecise. The models are illustrated numerically and some sensitivity analyses are presented. [Received: 13 January 2017; Revised: 14 September 2017; Revised: 10 June 2018; Accepted: 10 December 2018]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122852244","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}
Pub Date : 2019-03-27DOI: 10.1504/EJIE.2019.10020077
A. Taleizadeh, H. Zarei, B. Sarker
The replenishment intervals can be probabilistic when the system or the supplier has problem with manufacturing or shipping the goods. In this paper, an economic order quantity (EOQ) model with probabilistic replenishment intervals and permissible delay in payments with partial backordering is developed. This paper considers three different possible situations and suggests optimal inventory policy for each situation separately regarding the amount of expected order quantity and replenishment-up-to level that maximises the expected cyclic profit for the buyers. The model is analysed for the uniform and exponential probability distribution functions (PDF) for time of replenishment and a closed-form solution is achieved in all cases. Finally, a sensitivity analysis is performed to know the general functional behaviour and to clarify the applicability of the proposed model when the system behaviour is unstable. The results indicate that a customer can obtain the optimum replenishment-up-to level and order quantity when the replenishment intervals is probabilistic in three different possible situations. [Received: 17 August 2017; Revised: 10 January 2018; Revised: 23 August 2018; Accepted: 11 November 2018]
{"title":"An optimal ordering and replenishment policy for a vendor-buyer system under varying replenishment intervals and delayed payment","authors":"A. Taleizadeh, H. Zarei, B. Sarker","doi":"10.1504/EJIE.2019.10020077","DOIUrl":"https://doi.org/10.1504/EJIE.2019.10020077","url":null,"abstract":"The replenishment intervals can be probabilistic when the system or the supplier has problem with manufacturing or shipping the goods. In this paper, an economic order quantity (EOQ) model with probabilistic replenishment intervals and permissible delay in payments with partial backordering is developed. This paper considers three different possible situations and suggests optimal inventory policy for each situation separately regarding the amount of expected order quantity and replenishment-up-to level that maximises the expected cyclic profit for the buyers. The model is analysed for the uniform and exponential probability distribution functions (PDF) for time of replenishment and a closed-form solution is achieved in all cases. Finally, a sensitivity analysis is performed to know the general functional behaviour and to clarify the applicability of the proposed model when the system behaviour is unstable. The results indicate that a customer can obtain the optimum replenishment-up-to level and order quantity when the replenishment intervals is probabilistic in three different possible situations. [Received: 17 August 2017; Revised: 10 January 2018; Revised: 23 August 2018; Accepted: 11 November 2018]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127285764","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}
Pub Date : 2019-03-27DOI: 10.1504/EJIE.2019.10020073
Mehmet A. Begen, M. Puterman, Hongtu Wu
This paper describes a logistics optimisation case study for a Canadian beverage manufacturer and distributor. The goal was to determine production, distribution and inventory plans for a given product line to help the company with its challenges due to production shortages, stock-outs and high transportation costs in a new and highly competitive market. We built and implemented an optimisation model in Excel with VBA as a customised planning tool. Although we originally designed the tool for operational planning, the beverage company first used it for tactical planning (in price negotiations with the firm's subcontractors, deciding whether to buy a bankrupt subcontractor production site, and quantification of carrying extra inventory). The tool has changed the way the company conducts its business planning by evaluating 'what if' scenarios, finding an optimal operational plan, and forcing the company to think more strategically and for longer horizons. [Received: 21 January 2017; Revised: 30 March 2018; Revised: 30 September 2018; Accepted: 28 October 2018]
{"title":"Development of an operational and tactical decision support tool for a Canadian beverage firm: a case study","authors":"Mehmet A. Begen, M. Puterman, Hongtu Wu","doi":"10.1504/EJIE.2019.10020073","DOIUrl":"https://doi.org/10.1504/EJIE.2019.10020073","url":null,"abstract":"This paper describes a logistics optimisation case study for a Canadian beverage manufacturer and distributor. The goal was to determine production, distribution and inventory plans for a given product line to help the company with its challenges due to production shortages, stock-outs and high transportation costs in a new and highly competitive market. We built and implemented an optimisation model in Excel with VBA as a customised planning tool. Although we originally designed the tool for operational planning, the beverage company first used it for tactical planning (in price negotiations with the firm's subcontractors, deciding whether to buy a bankrupt subcontractor production site, and quantification of carrying extra inventory). The tool has changed the way the company conducts its business planning by evaluating 'what if' scenarios, finding an optimal operational plan, and forcing the company to think more strategically and for longer horizons. [Received: 21 January 2017; Revised: 30 March 2018; Revised: 30 September 2018; Accepted: 28 October 2018]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125492920","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}
Pub Date : 2019-03-27DOI: 10.1504/EJIE.2019.10020074
J. Noh, Jongsoo Kim, B. Sarkar
This paper develops a two-echelon supply chain model with a single manufacturer and a single retailer, where the demand is sensitive to advertising and retail price. To resolve the supply chain coordination, three strategies are introduced as retailer leader-manufacturer follower, manufacturer leader-retailer follower, and centralised supply chain. Based on these strategies, this paper suggests an optimal production rate, a production lot size, shortage level, an advertising expenditure, and retail price. Stackelberg approach is employed for solving leader-follower game to obtain the maximum profit of both manufacturer and retailer. The improved algorithm is developed to obtain the numerical results. For testing the model, this paper considers several numerical experiments, graphical illustrations, and sensitivity analysis. The result shows that the strategy of retailer leader-manufacturer follower obtains the highest profit than other strategies. [Received: 23 September 2017; Revised: 28 November 2017; Revised: 29 April 2018; Revised: 19 July 2018; Revised: 21 October 2018; Accepted: 21 October 2018]
{"title":"Two-echelon supply chain coordination with advertising-driven demand under Stackelberg game policy","authors":"J. Noh, Jongsoo Kim, B. Sarkar","doi":"10.1504/EJIE.2019.10020074","DOIUrl":"https://doi.org/10.1504/EJIE.2019.10020074","url":null,"abstract":"This paper develops a two-echelon supply chain model with a single manufacturer and a single retailer, where the demand is sensitive to advertising and retail price. To resolve the supply chain coordination, three strategies are introduced as retailer leader-manufacturer follower, manufacturer leader-retailer follower, and centralised supply chain. Based on these strategies, this paper suggests an optimal production rate, a production lot size, shortage level, an advertising expenditure, and retail price. Stackelberg approach is employed for solving leader-follower game to obtain the maximum profit of both manufacturer and retailer. The improved algorithm is developed to obtain the numerical results. For testing the model, this paper considers several numerical experiments, graphical illustrations, and sensitivity analysis. The result shows that the strategy of retailer leader-manufacturer follower obtains the highest profit than other strategies. [Received: 23 September 2017; Revised: 28 November 2017; Revised: 29 April 2018; Revised: 19 July 2018; Revised: 21 October 2018; Accepted: 21 October 2018]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130424169","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}
Pub Date : 2019-03-27DOI: 10.1504/EJIE.2019.10020065
H. Rasay, M. Fallahnezhad, Y. Zaremehrjerdi
Consider a two-stage dependent process in which each stage has a unique quality characteristic. Based on a regression formula, the quality characteristic of the second stage is dependent on that of the first stage. There may be two assignable causes in the process. Each cause can lead to a change in the mean of the process. The process failure mechanism for each stage follows a general continuous distribution function, and two control charts are simultaneously used to monitor the process. Specifically, the first stage is monitored using a Shwehart control chart, and the second stage is monitored using a cause-selecting control chart. An integrated model is developed for maintenance planning (MP) and statistical process control (SPC). To analyse the performance of the integrated model, a stand-alone model for SPC is developed. A comparison of the two models, i.e., the integrated model and the stand-alone model, is conducted. Finally, using a fractional factorial design, a depth analysis is performed about the integrated model. [Received: 10 February 2018; Revised: 21 April 2018; Revised: 4 June 2018; Revised: 12 September 2018; Revised: 7 October 2018; Accepted: 9 October 2018]
{"title":"An integrated model of statistical process control and maintenance planning for a two-stage dependent process under general deterioration","authors":"H. Rasay, M. Fallahnezhad, Y. Zaremehrjerdi","doi":"10.1504/EJIE.2019.10020065","DOIUrl":"https://doi.org/10.1504/EJIE.2019.10020065","url":null,"abstract":"Consider a two-stage dependent process in which each stage has a unique quality characteristic. Based on a regression formula, the quality characteristic of the second stage is dependent on that of the first stage. There may be two assignable causes in the process. Each cause can lead to a change in the mean of the process. The process failure mechanism for each stage follows a general continuous distribution function, and two control charts are simultaneously used to monitor the process. Specifically, the first stage is monitored using a Shwehart control chart, and the second stage is monitored using a cause-selecting control chart. An integrated model is developed for maintenance planning (MP) and statistical process control (SPC). To analyse the performance of the integrated model, a stand-alone model for SPC is developed. A comparison of the two models, i.e., the integrated model and the stand-alone model, is conducted. Finally, using a fractional factorial design, a depth analysis is performed about the integrated model. [Received: 10 February 2018; Revised: 21 April 2018; Revised: 4 June 2018; Revised: 12 September 2018; Revised: 7 October 2018; Accepted: 9 October 2018]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132729423","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}
Pub Date : 2019-03-27DOI: 10.1504/EJIE.2019.10020067
Chirakiat Saithong, H. T. Luong
This research examines a two-stage supply chain that comprises a supplier who is subject to stochastic disruption and a retailer who has to deal with supply disruption by holding inventory. Under a periodic-review base-stock inventory policy, the main objectives of this study are to determine the optimal inventory policy in the presence of stochastic supply disruption so as to minimise the total inventory cost as well as to analyse the impact of supply disruption on the optimal inventory policy. In this research, the length of a supply disruption is modelled as a continuous random variable, distinguishing it from previous research which modelled the length of a supply disruption as a discrete random variable that receives values only as multiples of the length of a review period. Numerical experiments have been conducted to illustrate the applicability of the proposed inventory model and to examine the effects of various input parameters on the optimal inventory policy. Furthermore, compared with the optimal inventory policy derived when the length of a supply disruption is considered as a multiple of the length of a review period, the proposed inventory model in this research can help derive a more precise optimal inventory policy. [Received: 13 February 2017; Revised: 7 December 2017; Accepted: 17 October 2018]
{"title":"Effect of supply disruption on inventory policy","authors":"Chirakiat Saithong, H. T. Luong","doi":"10.1504/EJIE.2019.10020067","DOIUrl":"https://doi.org/10.1504/EJIE.2019.10020067","url":null,"abstract":"This research examines a two-stage supply chain that comprises a supplier who is subject to stochastic disruption and a retailer who has to deal with supply disruption by holding inventory. Under a periodic-review base-stock inventory policy, the main objectives of this study are to determine the optimal inventory policy in the presence of stochastic supply disruption so as to minimise the total inventory cost as well as to analyse the impact of supply disruption on the optimal inventory policy. In this research, the length of a supply disruption is modelled as a continuous random variable, distinguishing it from previous research which modelled the length of a supply disruption as a discrete random variable that receives values only as multiples of the length of a review period. Numerical experiments have been conducted to illustrate the applicability of the proposed inventory model and to examine the effects of various input parameters on the optimal inventory policy. Furthermore, compared with the optimal inventory policy derived when the length of a supply disruption is considered as a multiple of the length of a review period, the proposed inventory model in this research can help derive a more precise optimal inventory policy. [Received: 13 February 2017; Revised: 7 December 2017; Accepted: 17 October 2018]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114645969","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}
Pub Date : 2019-02-25DOI: 10.1504/EJIE.2019.10019371
T. Keshavarz, Nasser Salmasi, Mohsen Varmazyar
In this research, we approach the flowshop sequence-dependent group scheduling problem with minimisation of total weighted earliness and tardiness as the objective for the first time. A mixed integer linear programming model is developed to solve the problem optimally. Since the proposed research problem is proven to be NP-hard, a hybrid meta-heuristic algorithm based on the particle swarm optimisation (PSO) algorithm, enhanced with neighbourhood search is developed to heuristically solve the problem. Since the objective is a non-regular, a timing algorithm is developed to find the best schedule for each sequence provided by the metaheuristic algorithm. A lower bounding method is also developed by reformulating the problem as a Dantzig-Wolf decomposition model to evaluate the performance of the proposed PSO algorithm. The computational results, based on using available test problems in the literature, demonstrate that the proposed PSO algorithm and the lower bounding method are quite effective, especially in the instances with loose due date. [Received: 17 February 2018; Revised: 27 July 2018; Accepted: 25 August 2018]
{"title":"Flowshop sequence-dependent group scheduling with minimisation of weighted earliness and tardiness","authors":"T. Keshavarz, Nasser Salmasi, Mohsen Varmazyar","doi":"10.1504/EJIE.2019.10019371","DOIUrl":"https://doi.org/10.1504/EJIE.2019.10019371","url":null,"abstract":"In this research, we approach the flowshop sequence-dependent group scheduling problem with minimisation of total weighted earliness and tardiness as the objective for the first time. A mixed integer linear programming model is developed to solve the problem optimally. Since the proposed research problem is proven to be NP-hard, a hybrid meta-heuristic algorithm based on the particle swarm optimisation (PSO) algorithm, enhanced with neighbourhood search is developed to heuristically solve the problem. Since the objective is a non-regular, a timing algorithm is developed to find the best schedule for each sequence provided by the metaheuristic algorithm. A lower bounding method is also developed by reformulating the problem as a Dantzig-Wolf decomposition model to evaluate the performance of the proposed PSO algorithm. The computational results, based on using available test problems in the literature, demonstrate that the proposed PSO algorithm and the lower bounding method are quite effective, especially in the instances with loose due date. [Received: 17 February 2018; Revised: 27 July 2018; Accepted: 25 August 2018]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"9 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132655015","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}
Pub Date : 2019-02-25DOI: 10.1504/EJIE.2019.097926
Kateryna Czerniachowska
Television advertising is vital to the television industry and is one of the most popular ways for advertisers to increase sales. This paper discusses the problem of scheduling TV advertisements according to each advertisers' need and budget limitations, with the objective of maximising total viewership. The proposed solution is the genetic algorithm, and its efficiency has been evaluated using list and random-list algorithms during long (one month) and short (one week) advertising campaign periods. Computational results show that this algorithm can obtain satisfactory results for real-world test problems, based on data from a marketing research company. [Received: 30 November 2017; Revised: 14 April 2018; Revised: 15 September 2018; Revised: 20 September 2018; Accepted: 22 September 2018]
{"title":"Scheduling TV advertisements via genetic algorithm","authors":"Kateryna Czerniachowska","doi":"10.1504/EJIE.2019.097926","DOIUrl":"https://doi.org/10.1504/EJIE.2019.097926","url":null,"abstract":"Television advertising is vital to the television industry and is one of the most popular ways for advertisers to increase sales. This paper discusses the problem of scheduling TV advertisements according to each advertisers' need and budget limitations, with the objective of maximising total viewership. The proposed solution is the genetic algorithm, and its efficiency has been evaluated using list and random-list algorithms during long (one month) and short (one week) advertising campaign periods. Computational results show that this algorithm can obtain satisfactory results for real-world test problems, based on data from a marketing research company. [Received: 30 November 2017; Revised: 14 April 2018; Revised: 15 September 2018; Revised: 20 September 2018; Accepted: 22 September 2018]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117351394","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}
Pub Date : 2019-02-25DOI: 10.1504/EJIE.2019.10019377
J. Jenifer, B. Sivakumar
In this article, we present a continuous review (s, S) inventory system with a service facility consisting of finite waiting hall (capacity N) and a single server. The customers arrive according to a Poisson process. The individual customer's unit demand is satisfied after a random time of service, which is assumed to be exponential. An arriving customer, who finds the waiting hall is full, enters into the pool of infinite size or leaves the system which is according to a Bernolli trial. The joint probability distribution of the number of customers in the pool, number of customers in the waiting hall and the inventory level is obtained in the steady-state case. Various stationary system performance measures are computed and total expected cost rate is calculated. The results are illustrated numerically. [Received: 8 January 2017; Revised: 28 February 2018; Accepted: 30 July 2018]
{"title":"A continuous review (s, S) inventory system with postponed demands at service facility","authors":"J. Jenifer, B. Sivakumar","doi":"10.1504/EJIE.2019.10019377","DOIUrl":"https://doi.org/10.1504/EJIE.2019.10019377","url":null,"abstract":"In this article, we present a continuous review (s, S) inventory system with a service facility consisting of finite waiting hall (capacity N) and a single server. The customers arrive according to a Poisson process. The individual customer's unit demand is satisfied after a random time of service, which is assumed to be exponential. An arriving customer, who finds the waiting hall is full, enters into the pool of infinite size or leaves the system which is according to a Bernolli trial. The joint probability distribution of the number of customers in the pool, number of customers in the waiting hall and the inventory level is obtained in the steady-state case. Various stationary system performance measures are computed and total expected cost rate is calculated. The results are illustrated numerically. [Received: 8 January 2017; Revised: 28 February 2018; Accepted: 30 July 2018]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"13 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131163262","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}
Pub Date : 2019-02-25DOI: 10.1504/EJIE.2019.10019375
J. Malela‐Majika, E. Rapoo
This paper develops two new synthetic double sampling (SDS) charts based on the revised side-sensitive (RSS) and modified side-sensitive (MSS) schemes for monitoring the location process parameter. In this paper, we first give the operation of the proposed charts and secondly, the exact form expression of the probability of declaring a sampling stage as 'conforming'. Thirdly, we investigate the zero-state and steady-state performances of the proposed charts in terms of the out-of-control average run-length, average sample size, average number of observations to signal and average extra quadratic loss. Finally, we compare the performance of the new charts with some well-known charts. It is observed that the proposed charts have attractive zero-state and steady-state properties and outperform the existing SDS chart and all other competing charts in many situations. An example of a real-life application is given to facilitate the design and implementation of the proposed charts. [Received: 28 February 2017; Revised: 14 March 2018; Revised: 28 August 2018; Accepted: 4 October 2018]
{"title":"Side-sensitive synthetic double sampling X control charts","authors":"J. Malela‐Majika, E. Rapoo","doi":"10.1504/EJIE.2019.10019375","DOIUrl":"https://doi.org/10.1504/EJIE.2019.10019375","url":null,"abstract":"This paper develops two new synthetic double sampling (SDS) charts based on the revised side-sensitive (RSS) and modified side-sensitive (MSS) schemes for monitoring the location process parameter. In this paper, we first give the operation of the proposed charts and secondly, the exact form expression of the probability of declaring a sampling stage as 'conforming'. Thirdly, we investigate the zero-state and steady-state performances of the proposed charts in terms of the out-of-control average run-length, average sample size, average number of observations to signal and average extra quadratic loss. Finally, we compare the performance of the new charts with some well-known charts. It is observed that the proposed charts have attractive zero-state and steady-state properties and outperform the existing SDS chart and all other competing charts in many situations. An example of a real-life application is given to facilitate the design and implementation of the proposed charts. [Received: 28 February 2017; Revised: 14 March 2018; Revised: 28 August 2018; Accepted: 4 October 2018]","PeriodicalId":314867,"journal":{"name":"European J. of Industrial Engineering","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116751355","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}
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