{"title":"Planning process families with a knowledge-based system","authors":"Lianfeng Zhang, Qianli Xu, Y. Shou","doi":"10.1109/IEEM.2011.6118229","DOIUrl":"https://doi.org/10.1109/IEEM.2011.6118229","url":null,"abstract":"Given the finite manufacturing resources available on a shop floor, process family planning has been well recognized as an effective means of achieving product family production efficiency. In view of the fundamental issues in process family planning and the potential of knowledge-based systems (KBSs) in solving complex problems, in this paper, we put forward a prototypical KBS to support process family planning by automatically generating production processes. The XML-based knowledge representation is adopted to alleviate the difficulties in modeling complex product and process family data and planning knowledge. To cope with constraint handling, a mechanism is designed to facilitate the generation of production rules, which model various planning constraints. Planning production processes for a truck family is used to demonstrate the potential of the prototypical KBS.","PeriodicalId":427457,"journal":{"name":"2011 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115727948","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":"Multi-processor job shop scheduling with due windows","authors":"Rong-Hwa Huang, Shun-Chi Yu","doi":"10.1109/IEEM.2011.6117901","DOIUrl":"https://doi.org/10.1109/IEEM.2011.6117901","url":null,"abstract":"Job shop is one of the most popular manufacturing environments in practice and is extensively discussed in literatures. Most of the literatures focus on one machine setup at each shop, which usually does not happen in practice for the purpose of workload balancing and make-span shortening. Therefore, this study aims to minimize total earliness and tardiness costs of a multi-processor job shop scheduling problem with due windows. Ant colony optimization (ACO) is deployed to solve the problem. Simulation data testing results show that ACO has similar solutions to integer programming in small scale problems, and robust, effective and time-efficient solutions in large scale problems.","PeriodicalId":427457,"journal":{"name":"2011 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121796377","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":"Integrated development of space systems - design for AIT - design for assembly, Integration and Testing of satellites - D4AIT","authors":"Adalberto Coelho Silva, G. Loureiro","doi":"10.1109/ieem.2011.6117985","DOIUrl":"https://doi.org/10.1109/ieem.2011.6117985","url":null,"abstract":"The Satellite Assembly, Integration and Testing (AIT) activities are a logical and interrelated sequence of events. The main objective in this phase of a space program development is to achieve a high degree of confidence that the satellite complies with its specified performance parameters. Traditional simultaneous engineering space systems (e.g. satellite) development can have a better approach for taking into consideration AIT requirements during the initial phases of satellite conception and project detailing. By combining model driven system design approach with simultaneous engineering concepts for process modeling, AIT requirements at system level can be dealt with during satellite conceptual and detailed design. AIT requirements comprise electrical, mechanical and environmental requirements. This paper aims to present a new process for the development of satellites, that includes - electrical, mechanical and environmental requirements of assembly, integration and testing (AIT) of satellites, at the system level, already at the design stage of the satellite project.","PeriodicalId":427457,"journal":{"name":"2011 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121307867","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 development of adoption of newer successive technologies using stochastic differential equation","authors":"P. Jha, Kuldeep Chaudhary, Anshu Gupta","doi":"10.1109/IEEM.2011.6118236","DOIUrl":"https://doi.org/10.1109/IEEM.2011.6118236","url":null,"abstract":"In the literature some models have been proposed to describe the diffusion behavior of the successive generational products based on deterministic new product diffusion models for single generational products. The deterministic models ignore the environmental as well as internal system disturbances. These disturbances create randomness in the adoption process which is likely to be larger in case of generational products. A few single generation diffusion models describe this randomness by introducing stochasticity using Ito's type stochastic differential equations. In this paper, we formulate a mathematical model, that simultaneously describe the adoption pattern of a base technology and substitution effect over the generations of the base product for durable technology product, using stochastic differential equations with continuous state space. The validity of the proposed model is illustrated using four generation IBM Main frame computer data reported in literature.","PeriodicalId":427457,"journal":{"name":"2011 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125815952","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":"Designing the optimal strategies for supply chain financing under warehouse receipt pledging with credit line","authors":"Nina Yan, Tian Tian","doi":"10.1109/IEEM.2011.6117921","DOIUrl":"https://doi.org/10.1109/IEEM.2011.6117921","url":null,"abstract":"The optimal strategy of financing through warehouse receipt pledging for retailers with capital constraints in the supply chain financing system under demand uncertainties is designed and investigated. We design a supply chain financing system composed of the manufacturer, the retailer and the commercial bank, in which the credit line and bankruptcy probability of the retailer are considered. The optimized financing interest rate for the commercial bank, the optimized order policy for the retailer and the optimized wholesale price for the manufacturer are analyzed respectively, and the comparison analysis about the optimal strategy for the financing strategy with and without credit line are proposed. It concluded that the financing strategy with limited credit line can stimulate the increase in order quantity inside the supply chain financing system and can provide the effective financing motivation for the risky retailer. Finally, we use the numerical study to analyze the influence of retailers with different lines of credit on the optimal strategy in supply chain financing system, thus verify the result of theoretical analysis.","PeriodicalId":427457,"journal":{"name":"2011 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115247242","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":"Confidence interval estimation of software reliability growth models derived from stochastic differential equations","authors":"Chih-Chiang Fang, Chun-Wu Yeh","doi":"10.1109/IEEM.2011.6118234","DOIUrl":"https://doi.org/10.1109/IEEM.2011.6118234","url":null,"abstract":"The study develops a software reliability growth model (SRGM) with confidence intervals that provides software developers useful information to decide the optimal software release time and to refine the quality of software testing tasks. The developed SRGM of this study is based on stochastic calculus to deduce the confidence intervals of the mean value function at different confidence level. Owing to less clear explanation of the variance in the mean value function of cumulative software errors in most software reliability growth models, it might not be effective in deducing the confidence interval concerning the mean value function. Therefore, software developers cannot estimate the possible risk variation in software reliability, and it might diminish the value of practical applications. In this study, we utilize the method of stochastic differential equations and five classic models (Goel and Okumoto's model (1979), Yamada's Delayed S-shaped model (1983), Ohba's Inflection S-shaped model (1984), Yamada's exponential model (1992), Chiu and Haung's learning effect model (2008)) to build the SRGM with confidence intervals that can assist the software developers in determining the optimal release times at different confidence levels. With regard to the software failure phenomena, they were supposed as Non-homogeneous Poisson Process (NHPP) in this study.","PeriodicalId":427457,"journal":{"name":"2011 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115994411","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":"Developing an improved particle swarm optimization algorithm for solving the inventory routing problem with direct shipment","authors":"I. Abadi, S. H. Zegordi, A. Mirzaei","doi":"10.1109/IEEM.2011.6117911","DOIUrl":"https://doi.org/10.1109/IEEM.2011.6117911","url":null,"abstract":"This paper considers a multi-period multi-product inventory routing problem whereas the objective is to minimize total system cost that includes production setup, inventory and distribution costs. The problem integrates decisions on the production planning, inventory management and distribution planning. Here, we assume that products are produced and delivered from one manufacturer to a set of retailers through a fleet of homogenous capacitated vehicles under direct shipping strategy. Since the problem is known as an NP-hard problem, this paper proposes an improved particle swarm optimization algorithm for solving the problem. The efficiency and the reliability of the proposed algorithm are evaluated by using various test problems with different sizes that is randomly generated. The performance of the developed algorithm is compared with two different algorithms: Particle Swarm Optimization, and Genetic Algorithm. The numerical results show that the developed algorithm outperforms benchmark algorithms, especially for the large-sized problems.","PeriodicalId":427457,"journal":{"name":"2011 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115998755","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 prescriptive approach to understand customer needs using value-focused thinking","authors":"Xinwei Zhang, G. Auriol, C. Baron","doi":"10.1109/IEEM.2011.6118129","DOIUrl":"https://doi.org/10.1109/IEEM.2011.6118129","url":null,"abstract":"In the paper a prescriptive approach to understand customer needs is proposed, which helps to transform the subjective, human-centric problem into a more objective, decision-making problem. By recognizing the diversity of levels or granularities of initially identified customer statements, techniques of fundamental objectives hierarchy and means-ends objectives network are utilized to qualitatively structure the customer statements. A set of customer needs suitable for measuring is then identified. By carefully selecting an appropriate measure for each customer need in the set, quantitative value model for conjoint measurement is constructed with multiple attributes preference theory. The implications of quantitative understanding on customer needs in terms of values, e.g. weights and even swap, are further discussed. The business benefit of the approach is the breadth and depth of understanding of customer needs and values.","PeriodicalId":427457,"journal":{"name":"2011 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122883544","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":"Application of TOPSIS method for evaluating the temporal dimensions of Marand City in urban design","authors":"M. Hashemi, M. Amiri-Aref","doi":"10.1109/IEEM.2011.6118015","DOIUrl":"https://doi.org/10.1109/IEEM.2011.6118015","url":null,"abstract":"In this paper, a multi-criteria decision making problem to evaluation of the temporal dimension for a number of places in Marand City, Iran by TOPSIS method is implemented. Places with higher score and lower score, respectively, regarding to the temporal dimension in urban design are introduced. It is a vital decision for the urban managers.","PeriodicalId":427457,"journal":{"name":"2011 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116810627","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 worker assignment for machine cluster in the manufacturing cell","authors":"S. Prombanpong, Waraporn Seenpipat","doi":"10.1109/IEEM.2011.6117937","DOIUrl":"https://doi.org/10.1109/IEEM.2011.6117937","url":null,"abstract":"A worker assignment for machine cluster in the manufacturing cell was discussed in this paper. The objective of this paper is two folds. First, it aims to demonstrate a calculation of the maximum number of machines which one worker can optimally operate without an idle time on the machine. Then, the simulation software program is utilized to evaluate various proposed improvement alternatives based on maximum machine efficiency criteria. In this study one of the hard disk drive manufacturers in Thailand was explored. Previously, one worker was assigned to service eight semi-automated machines in the cluster. The main tasks of the worker were loading, checking and recording. Due to the fact that workload of the worker and the machine cycle is not balanced so the utilization of the worker cannot be maximized. Therefore, the optimum number of machines which one worker can ideally service is calculated. It is found that one worker can optimally serve up to eleven machines. However, other alternatives are also explored. As a result, by systematic work elimination, one worker can service up to fourteen machines per cycle with 96.09% machine utilization.","PeriodicalId":427457,"journal":{"name":"2011 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116842564","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}