Industrial Management Studies

Abstract production in most countries. Based on uncertain changes in the world, such industries should choose the most appropriate improvement programs for confirmation with such conditions. Because there are a lot of barriers to implementation of these programs, the purpose of this research is identifying and classification of these barriers. Based on this, at the first a lot of barriers related to SMEs and improvement programs from literature were identified and then screened based on experts opinions. The data were analyzed by confirmatory factor analyze in structural equations by EFQM in Amos. The result of this research showed that strategy, personnel, leadership, process and resources are 5 factors that categorize barriers respectively based on factor load. The results showed that EFQM is a good framework for categorizing these barriers in SMEs.
 

Abstract Subjectto prioritizeresearch projectsdue toresource constraints, the most important financial resources,manpower andequipmentis essential. To this purpose,the Officeof Education, Research and Technologyof Water ResourcesWith theimplementationof thisresearch is asignificant stepin coordinatingresearch projectsinthe organizationhas taken.Thispaperissuitable forthe evaluationofresearch projects, the company is identifiedInthisreview of10researchprojects inthewater supplycompanyforconfidentiality andnon-licensed companyhasrefrainedfrom expressingresearchtopicsselectedbyAfter specifyingthe desiredcriteriadecision makingmethodAHPgroupprojectsarerankedTheratingdecisionisareferenceto estimate theutility functionand obtainthereferenceset ofdecisionsis no longer possiblewith anymethod,Themethodforthe estimation ofthe value functionisUTASTAR. The ultimate goalof thisarticle isprovidedsubjecttotheprioritization ofresearch projectsinthe company.With the use of this value subject to the office of education, research and technology resources company research projects can water the water resources of the other company or project that company in the future with them will assess and ranking.Undoubtedly this attitude and in the framework of the general value subject to the opportunity for Investment Promotion policy in the field of credits for priority research project .
 
 
 

Abstract  
Master production scheduling is a midterm phase in planning which translates the long term aggregate production planning to a plan which determines the scheduling and magnitude of different products production. This problem requires investigating a wide range of parameters about demand, manufacturing resource usage and costs. Uncertainty is an intrinsic characteristic of these parameters. In this paper, a model is developed for master production scheduling under uncertainty where demands are considered as stochastic variables, while cost and utilization parameters are expressed as fuzzy numbers. A hybrid approach is also proposed to solve the extended model. The application of the proposed method is examined in a numerical example.
 
 
 

Abstract In today’s competitive world, the organizations decide to establish competitive benefits by making benefit from management sciences. One of the most important management sciences arisen lots of so useful matters is the supply chain. The supply chain management is the evolved result of warehousing management and is regarded as one of the infrastructure and important concepts for implementing the career so that in many of them it is essentially tried to shorten the time between the customer’s order and the real time of delivering the goods. Cross docking is one of the most important alternatives for lowering the time in supply chain. The central aim of this paper is to focus on optimizing the planning of the trucks input and output aiming to minimize total time of operation inside the supply chain in designed model. Timing the transportation in this paper makes the time between sources and destinations, time of unloading and transferring the products minimized. To find the optimum answers to the question, genetic algorithms and the particle swarm optimization have been used. Then, these algorithms have been compared with the standards such as the implementation time and quality of answers with each other and then better algorithms in each standard identified.
 
 

Abstract the requirements for maintenance management have change drastically from the old concept of ‘fix-it-when-broken’ to a more complex approach, which entails adopting a maintenance strategy for a more integrated approach and alignment.
This paper presents a Goal Programming (GP) approach to define the best strategies for the maintenance of some criticalpumps in a paper industry. For each pump failure mode, the model allows to take into account the maintenance policy burden in terms of inspection or repair and in terms of the manpower involved, linking them to efficiency-risk aspects quantified as in FMEA methodology through the use of the classic parameters occurrence (O), severity (S) and detectability (D), evaluated through an adequate application of the Analytic network process. (ANP) technique. An extended presentation of the data and results of the case analysed is proposed in order to show the characteristics and performance of this approach.
The result is in the situation studied predictive and preventive maintenance obtain the best compromise between resource usage and reduction of failure effects. This fact is non-surprising since these policy allows failure prediction, thus providing the maintenance manager with useful information to limit the negative failure aspects.
 

Abstract Identification of factors influencing on organizational innovation based on open innovation paradigm in publication industry was the main purpose of this study and open innovation approach was the main focus of this study. Mix method of Research was run and statistical publication in qualitative section was publication sector experts and universities faculty members was selected in order to implement the quantitative section. Sample size was 30 experts in qualitative section and 300 subject selected for quantitative section. Based on theoretical and practical literature, main factors such as structural, financial, environmental, and individual was identified and researcher made questionnaire including 60 item was develop and it’s reliability (α=0.89) and validity was approved. Data was analyzed by path analysis. Results showed that vary factors has important role in creating of open innovation in which the core competencies of human resource is more related to open innovation and accessing to bazaars was less related to  open innovation.
 
 

Abstract  Iranian managers in public organizations are generally motivated to introduce suggestion schemes in their organizations, which is also supported by laws and regulations. However our knowledge of key success factors is limited in terms of quality and quantity of previous research efforts. To fill the gap, this study adopting a survey methodology with a random sample of employees in public offices and organizations of Iran, investigated factors with a potential affect on the successful introduction of suggestion systems in the organizations. We were especially interested to investigate the role of organization mission (industrial vs. non-industrial), as the adoption of suggestion systems has been relatively in industrial organizations. Research results show that organization mission through intermediating variables such as leadership style, organizational culture, organizational structure and processes have indeed statistically meaningful effect on the success of suggestion systems. Based on the results of the research, a readiness assessment model is proposed and recommendations are made for application and further research.
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