The computer numerical control (CNC) machines are chiefly used for the production of jobs with high accuracy and high speed. The CNC machining centers perform the machining operations according to the given program instructions which are commonly programmed by a CNC programmer. In this paper, a procedure to develop an automatic CNC program for machining of different types of holes by using different machine learning algorithms is developed. The machine learning algorithms namely support vector machine (SVM) and restricted boltzmann machine algorithm (RBM) with deep belief network (DBN) are used for the au-tomatic development of CNC machining programs of different types of holes. Initially, the position and other parameters of machining operations are identified and thereafter the CNC machining program is developed by using the MATLAB application. The automatically de-veloped CNC programs are tested on a CNC simulator. It is found that the application of RBM machine learning algorithm with DBN outperforms the SVM machine learning algo-rithm for the development of automatic CNC machining program for the machining of blind holes, through holes, counterbores and countersink operations.

In order to manage a project seamlessly, there is a need to establish effective communication be-tween different departments and identify the risks in the project, determine the affected or influ-encing stakeholders, provide timely resources and logistics, and manage the available resources to make a framework for project implementation. In order to successfully complete the project it is also necessary to focus on approved costs, project completion time and quality within the specified range. Project management is the coordination among different parts of the project to achieve the main goals of the project and the stakeholders’ expectations. To achieve this, there are several standards and one of the most recognized standards is the Project Management Knowledge Facility (PMBOK), which has come with the assistance of Project Managers for professional, targeted and comprehensive management. PMBOK is not just a guideline and a methodology for project management. Building Information Modeling (BIM), a project man-agement methodology has been adopted in recent years to design a project integrated as a 3-D information model, which adds all project information in the various phases of the project to a 3-D information model. The purpose of this research is to gather some date from experts using some questionnaires in the area of project management to build an information modeling. The study determines that each of the basic BIM capabilities had positive effects on different domains of PMBOK knowledge. Moreover, using SAW analysis, the study suggests that BIM had the greatest impact on project integration management, and finally, the BIM general process model is introduced to implement each of the areas of knowledge.

This paper aims to evaluate the performance of banks in Tunisia from 2011 to 2013. An approach based on relations between fuzzy numbers (BRONF) is used to solve the fuzzy data envelopment analysis (FDEA) model in presence of financial and non financial data. In addition, a methodology is proposed to treat imprecise inputs and outputs. The results show that, in a competitive environment, no-financial inputs and outputs should be taken into account in order to obtain credible and realistic efficiency scores.

Serviceable engineering components not only rely on their bulk material properties but also on the design and the characteristics of their surface. These characteristics influence directly the surface quality of the machined products. In terms of surface roughness, the influence of the tool material can be also caused by its tribological properties, i.e. a contact behavior between cutting tool and workpiece. This study presents a formulation of the nominal’s coefficient and friction forces generated in machining between workpiece and cutting tool using cutting force profiles. The obtained equations led to the evaluation of coefficient, frictional forces and cutting inserts characterization in terms of better surface finish and lowest frictional forces. Indeed, results show that the contact between cutting tool and workpiece depends on the materials cutting tool nature, and that the cutting tool type can influences the surface roughness of the machined surface.

Customer Demand Information (CDI) sharing plays a vital role in reducing the bullwhip effect as well as in improving the performance of a supply chain. The objective of the present research is to identify the best form of CDI sharing experimentally for a four-stage serial supply chain under lost sales business environment. A supply chain role play game software package is developed for conducting suitable experiments. Different forms of CDI sharing tested in this research are periodic CDI, history of CDI and CDI in the form of distribution. It is found that all forms of CDI sharing have significant impact on the reduction of bullwhip effect compared to non-sharing of information and the upstream stages in the supply chain are benefited the most under CDI sharing. The statistical analysis also confirms that sharing CDI in the form of distribution is the most effective among the various forms of information sharing studied. The percentage reductions in magnitude of order variance under the most benefitted information sharing at distributor and factory stages are 64.43 and 66.04, respectively. It is also found that the performance of a supply chain depends on the degree of customer demand information shared among the stages in the supply chain.

The electron transport of Phthalocyanines (Pc) with central metal and di-axial ligands (such as FeIII(Pc)L2; where L = CN, Cl, Br) originates from its intermolecular Pc π-π orbital overlap while its giant negative magnetoresistance (GNMR) arises from its intramolecular Pc-π(HOMO) and Fe-d (s=1/2) interaction. However, the π-d interaction tends to localize itinerant electrons resulting in the decrease in the conductivity of the FeIII(Pc)L2 series compared to the non-magnetic CoIII(Pc)L2 where π-d interaction is absent. More so, the axial ligand field energy of the FeIII(Pc)L2 system is found to have the ability to proportionally modulate the π-d interaction. In reference thereof, theoretical calculations point that isostructural RuIII(Pc)Br2 would provide the best balance of π-d orbital energy interplay. That is, RuIII(Pc)Br2 is expected to be a molecule with high electrical conductivity and GNMR which would make it an ideal magnetic molecular conductor. This paper reports on the synthesis of RuIII(Pc)Br2.

We study the question of how to ideally divide total profits among supply chain members, especially in a stochastic demand market. The Shapley value is used as the methodology solution to divide profits in a supply chain. To illustrate the Shapley value solution and procedures, a two-echelon supply chain consisting of one supplier and two heterogeneous retailers is examined. The goal is to figure out ideal transfer prices for products delivered among supply chain members. These transfer prices will achieve the suggested profit allocations among three companies.

The purpose of this paper is to study the effect of different conflict management strategies including competition, cooperation, prevention and compromise on brand promise. The proposed study uses the questionnaire developed by Putnam and Wilson (1982) [Putnam, L. L., & Wilson, C. E. (1982). Communicative strategies in organizational conflicts: Reliability and validity of a measurement scale. Communication yearbook, 6, 629-652.] to measure conflict management measures and to measure the components of brand promise, the study develops a questionnaire. The proposed study is executed among some employees of bank Melli Iran in city of Tehran, Iran. Cronbach alphas have been calculated as 0.76 and 0.83 for conflict management and brand promise, respectively. Using Pearson correlation ratios as well as multiple regression technique, the study determines that there was a reverse relationship between two conflict management strategies, cooperation and compromise, and brand promise. In addition, there was a positive relationship between two conflict management strategies, competition and compromise, and brand promise.

In hierarchical production planning system, Aggregate Production Planning (APP) falls between the broad decisions of long-range planning and the highly specific and detailed short-range planning decisions. This study develops an interactive Multi-Objective Genetic Algorithm (MOGA) approach for solving the multi-product, multi-period aggregate production planning (APP) with forecasted demand, related operating costs, and capacity. The proposed approach attempts to minimize total costs with reference to inventory levels, labor levels, overtime, subcontracting and backordering levels, and labor, machine and warehouse capacity. Here several genetic algorithm parameters are considered for solving NP-hard problem (APP problem) and their relative comparisons are focused to choose the most auspicious combination for solving multiple objective problems. An industrial case demonstrates the feasibility of applying the proposed approach to real APP decision problems. Consequently, the proposed MOGA approach yields an efficient APP compromise solution for large-scale problems.

The purpose of this paper is to study the effect of the tax expenses on accounting conservatism on firms listed on Tehran Stock Exchange. In this study to measure the conservatism accruals is used to test the research hypotheses based on the information gathered from 61 firms listed on Tehran Stock Exchange over the period 2004-2009. Findings indicate that the relationship between conservatism accounting and corporate tax burden was positive and significant. In addition, firms with high book-tax conformity had higher motivation to use the conservative accounting to reduce their tax payments.