فهرست مطالب

  • Volume:30 Issue:3, 2019
  • تاریخ انتشار: 1398/06/10
  • تعداد عناوین: 8
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  • Saadat Ali Rizvi*, Ali Wajahat Pages 245-254

    CNC turning is widely used as a manufacturing process through which unwanted material is removed to get the high degree of surface rough. In this research article, Taguchi technique was coupled with grey relation analysis (GRA) to optimize the turning parameters for simultaneous improvement of productivity, average surface roughness (Ra), and root mean square roughness (Rq).Taguchi technique L27 (34) orthogonal array was used in this experimental work. Feed, speed, and depth of cut were considered as the controllable process parameters. average roughness (Ra), root mean square roughness (Rq),and material removal rate (MRR) were considered as the performance characteristic and from TGRA result, it was revealed that the optimum combinational parameters for multi-performance, based on mean response values and confirmation experiments with Taguchi-based GRA is A1B1C1 (Vc=400 rpm, f=0.06 mm/rev, and DOC=0.5 mm). The optimum values obtained from experimental investigations for Ra was 6.86 μm, and MRR was 20690.31 mm3/s,further analysis of variance(ANOVA) were applied and it was identified that the depth of cut having most significant effect followed by speed and feed for multiresponse optimization. The percentage contribution of depth of cut was 38.28.71 %, speed was 11.89 % and feed was 8.466 %. CNC turning is widely used as a manufacturing process through which unwanted material is removed to get a high degree of surface roughness. In this research article, Taguchi technique was coupled with grey relation analysis (GRA) to optimize the turning parameters for simultaneous improvement of productivity, the average surface roughness (Ra), and root means square roughness (Rq). Taguchi technique L27 (34) orthogonal array was used in this experimental work. Feed, speed, and depth of cut were considered as the controllable process parameters. average roughness (Ra), root mean square roughness (Rq), and material removal rate (MRR) were considered as the performance characteristic and from TGRA result, it was revealed that the optimum combinational parameters for multi-performance, based on mean response values and confirmation experiments with Taguchi-based GRA is A1B1C1 (Vc=400 rpm, f=0.06 mm/rev, and DOC=0.5 mm). The optimum values obtained from experimental investigations for Ra was 6.86 μm, and MRR was 20690.31 mm3/s, further analysis of variance(ANOVA) were applied and it was identified that the depth of cut having most significant effect followed by speed and feed for multiresponse optimization. The percentage contribution of the depth of cut was 38.28.71 %, speed was 11.89 % and feed was 8.466 %.

    Keywords: ANOVA, surface roughness, MRR, grey relation analysis, Taguchi technique
  • Ali Bonyadi Naeini*, Barat Mojaradi, Mehdi Zamani, V.K. Chawla Pages 255-271

    The frequency of chronic diseases such as cardiovascular diseases has significantly increased in recent years. This study is a developmental research which is categorized as descriptive-survey in terms of data collection method. The aim of this study is to prioritize 22 districts of Tehran for the purpose of prevention from cardiovascular diseases. In the present study, after extraction of the effective factors on the prevalence of cardiovascular diseases from previous studies, the weight of each factor with their specific data for each 22 districts of Tehran (collected from relevant organizations) is obtained using two levels of Fuzzy Delphi method and one level of fuzzy best-worst method, for confirming or denying factors and weighting them based on the opinion of 25 cardiologists, respectively, and transferred to Arc GIS software for prioritizing 22 districts of Tehran.Using a combination of fuzzy best-worst method, which is one of the newest methods for making multi-criteria decision, and GIS, for weighting parameters and prioritizing 22 districts of Tehran, gives an acceptable worth to the present study.Our results-after classification, drawing, and combination of maps- indicated that the 8th district (except a little part in the west) is the best district, and 16th and 19th districts (approximately whole district) are in the last priority for prevention of cardiovascular diseases. Other districts respectively placed in the second to 21th places.

    Keywords: Prevention, Cardiovascular Diseases, GIS, Fuzzy Decision-Making Algorithm, Tehran
  • Ali Borumand, Morteza Rasti Barzoki* Pages 273-286

    In this paper, greening, pricing, and advertising policies in a supply chain will be examined with government intervention. The supply chain has two members. First, a manufacturer seeking to determine the wholesale price and the greening level and second, a retailer that has to determine the advertising cost and the retail price. The government is trying to encourage the manufacturer to green the production using subsidies. Using the game theory, at first, the demand function and the profit functions of both members are introduced, then in a dynamic game, their Stackelberg equilibrium is calculated. Sensitivity and parameter analysis are made to more illustration of the problem. We found the supply chain profit function behavior and results show that if the sensitivity of demand-price is less than a specific value, the manufacturer will not participate in greening policies.

    Keywords: sustainable supply chain, greening policies, advertising, pricing, Stackelberg, game theory
  • Seyyed Mahdi Hosseini Motlagh*, Mina Nouri Harzvili, Roza Zirakpourdehkordi Pages 287-312

    Nowadays, competitive market creates the necessity of quality improvement in different levels of supply chains (SCs). This paper contributes to the SC coordination literature and proposes a bilateral coordination contract for optimizing pricing decisions along with quality improvement decisions in different echelons of a real case of a cell phone SC. The SC comprises a manufacturer who deals with determining the product quality, and a retailer who seeks for the optimal strategy on price, after-sale service and service level in a periodic review inventory system. The proposed bilateral wholesale price (BWP) contract is shown to be capable of simultaneous coordination of these decisions. The sensitivity analysis showed that in a market which is sensitive to quality and after-sale service as well as the product price, the proposed model facilitates investing more in such quality improvements while the members’ profitability with respect to the case without contracts is guaranteed. Moreover, it can increase the SC service level since it enables the members to hold more safety stock even under high inventory costs. Overall, the proposed coordination model on pricing, product quality, after-sale service and service level, leads to the optimal performance of the SC and its members while it is beneficial for the customers.

    Keywords: Quality improvement, Supply chain coordination, Pricing, Service, Periodic review inventory system, Bilateral wholesale price contract
  • Naser Safaei, Shahnaz Piroozfar, Seyedehfatemeh Golrizgashti* Pages 313-327

    Supply chain management is a set of used methods for the efficient integration of suppliers, manufacturers, warehouses, and sellers to response customer requirements to reduce system costs and to distribute products at the right place and right time. This study aims to identify and rank the supply chain damages using the analytic network process as a practical case in a fast moving consumer goods (FMCG-food industry) company. Firstly the supply chain damages are explored according to literature review. In the next step the most important damages are identified into four cluster of supply include supply, production, distribution and support. Then, the weight of each identified damages based on its effects on other damages are calculated by using the analytic network process approach. According to results, the most important supply chain damages are logistics, distribution, competition and changing market tastes. The obtained results can provide practical discussion and solutions for similar companies to improve your market share and customer satisfaction.

    Keywords: Analytic network process, Supply chain, Damage, FMCG, Ranking
  • Seyed hamed Mousavipour, Hiwa Farughi*, Fardin Ahmadizar Pages 329-340

    Sequence dependent set-up times scheduling problems (SDSTs), availability constraint and transportation times are interesting and important issues in production management, which are often addressed separately. In this paper, the SDSTs job shop scheduling problem with position-based learning effects, job-dependent transportation times and multiple preventive maintenance activities is studied. Due to learning effects, jobs processing times are not fixed during plan horizon and each machine has predetermined number of preventive maintenance activities. A novel mixed integer linear programming model is proposed to formulate the problem for minimizing Make Span. Owing to the high complexity of the problem; we applied Grey Wolf Optimizer (GWO) and Invasive Weed Optimizer (IWO) to find nearly optimal solutions for medium and large instances. Finally, the computational Results are provided for evaluating the performance and effectiveness of the proposed solution approaches.

    Keywords: Sequence dependent set-up times, job shop scheduling, learning effects, Availability constraint, Transportation times
  • Hassan Rashidi, Fereshteh Azadi Parand* Pages 341-352

    One of the modern paradigms to develop a system is object oriented analysis and design. In this paradigm, there are several objects and each object plays some specific roles. There is a sequence of activities to develop an analysis model. In the first step, we work in developing an initial use case model. Then in the second step, they identify a number of concepts and build a glossary of participating objects.  Identifying attributes of objects (and classes) is one of the most important steps in the object-oriented paradigm. This paper proposes a method to identify attributes of objects and verify them. The method is also concerned itself with classifying and eliminating the incorrect attributes of objects. Then the method is evaluated in a large application, a Control Command Police System. After that, several guidelines on attributes of objects, based on the practical experience obtained from the evaluation, are provided.

    Keywords: Object-Oriented, Analysis Model, Object, Attributes, Use Case
  • Akbar Rahimi, Abbas Raad*, Akbar Alamtabriz, Alireza Motameni Pages 353-375

    Nowadays, Military products of superpowers countries have a high level of diversity, delivery speed, and appropriative operational functionality. Therefore, Production of varied, high quality and high speed delivery military products, is essential for enhance Iran's defensive deterrence power. Defense industries supply chain agility is an answer to how to produce military products with these features. This paper, with the aim of providing supply chain agility model in defense industries, first, identifies the most important supply chain agility practices, Then, using factor analysis, categorizes the practices and validates them based on structural equation modeling (SEM) and finally, using Interpretative Structural Modeling (ISM), presents a model that shows the relationships and hierarchy between these practices. The results show that out of a total of 62 practices introduced in the previous research for agile supply chain, 41 practices in the agility of the supply chain of defense industries are effective. These practices were classified in 8 categories include supplier relationship, workshop level management, organizational structure improvement, human resource management, product designing, improve and integrate the process, application of information technology, and customer relationship. Improvement of organizational structure was at the lowest level of the model. Therefore, managers first should focus on it.

    Keywords: Supply Chain, agility Approach, Interpretative Structural Modeling, Defense Industries