Turning is the utmost elementary process among several CNC machine tool operations which is a versatile, efficient and widely used in industries including mechanical, aerospace and automotive sectors. Most frequently the manufacturing industries face the problem of cutting down the production cost without any oblation in the quality of products. Selection of process parameter is essential for assuring a quality product. Convenient choice of the cutting conditions, parameters and tools for the maximum Material removal rate (MRR) and surface finish needs a sophisticated approach adopting mathematical and statistical models as well as experimental method. Taguchi’s method is a very compelling tool to optimize the process variables. The intention of the present study is to determine surface roughness (Ra) and MRR which are key responses to justify the quality of turning operation. Four process parameters have been selected viz. Nose radius (NR), depth of cut (DOC), feed rate (FR) and spindle speed or cutting speed (CS) that influences these responses. During machining operations, the influence of the process parameters and their interac-tion have been analyzed using a statistical tool ANOVA. Aluminum alloy is widely acceptable by industries owing to its good strength to weight ratio, high resistance to corrosion, malleability and excellent resistance during elevated temperatures.

The purpose of the current study was to investigate the determinants of small and medium manu-facturing enterprises’ export performance empirically in the context of Pakistan. The study adopted survey method to collect forty-five (45) responses from small and medium manufacturing firms through E-mail survey. The study produced four determinants of SME export performance, such as entrepreneurial orientation (EO), total quality management (TQM), business network (BN) and export market orientation (EMO). Thus, internal consistency reliability and discriminant validity were examined of the study instruments through panel expert’s opinion and the small sample size was investigated using statistical software SPSS-21 and smartPLS-3. The results of the study con-firmed that scale reliability and validity and moreover, current study found a positive relationship between TQM and SME export performance. On the other hand, the study also found insignificant relationship between EO, BN, EMO and SME export performance. Furthermore, the study recommended future study should validate the current study research framework on large sample size.

Municipal solid waste management has become a global concern during the past decades in many countries such as Canada and waste management technological advancements and regula-tions have been increased. Solid wastes emit greenhouse gases which result in global climate change, pollution of air and water which has tremendous negative impact on human health. Due to the excessive urbanization and fast economic development, municipal solid wastes have been increased in developing countries. In order to manage this emerging issue, polluted countries need a series of legislations and policies toward solid wastes. Accurate prediction of future mu-nicipal solid waste generation plays a critical role for future planning. This paper focuses on mu-nicipal solid waste generation in city of Tehran, the most populated city in Middle East. Three methods are explored in this paper to analyze the past solid waste time-series analysis: regres-sion, Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS). The first method, which is the classical regression approach, is used as a baseline for considered neural networks models. The second method utilizes the past data as training example of neural network to find autocorrelation among target; lastly, the neuro-fuzzy learns the relation of data using fuzzy-rule. Mean Absolute Percentage Error (MAPE) metric is used to evaluate the per-formance. Finally, analysis of variance (ANOVA) and Duncan experiment are performed to ver-ify and validate the outcome of the experiments.

During the past few years, there have been tremendous changes on social media through different applications in Canada. Many people choose their products and services solely based on the tips they receive from various social media such as Facebook, Twitter, etc. Social media are ex-periencing an increase popularity, both among the ordinary people who simply use the facilitated interaction, and businessman who observe it as a serious marketing facility. In this paper, we study the trend and usage of social media for different purposes in Canadian society. The survey indicates that Facebook has been the most popular followed by Twitter and LinkedIn. The study also indicates that social media are used for many purposes such as reaching update news, recommending products or services, recruiting employees, etc.

Canadian enterprises are increasingly implementing Internet based e-business technologies such as websites, web-based procurement, and e-commerce to reduce their cost and increase their productivity. While there have been several studies in different countries to locate the determi-nants of e-business adoption, the newness of business could preclude much understanding of the factors, which influence the evolution of e-business within firms. This paper performs a review on recent studies on the implementation of e-business adaptation in Canada. The study covers several studies accomplished on Small and medium enterprises (SMEs) after implementing e-business in their business activities and discusses the barriers and the challenges on enhancing the new technology.

This paper deals with data mining applications for the supply chain inventory management. ABC characterization is typically utilized for stock items arrangement on the grounds that the quantity of stock items is large to the point that it is not computationally practical to set stock and admin-istration control rules for every individual item. Moreover, in ABC classification, the inter-relationship between items is not considered. But practically, the sale of one item could influence the sale of other items (cross selling effect). Consequently, within each cluster, the inventories should be classified. In this paper, a modified approach is proposed considering both cross-selling effect and clusters to rank stock items. A numerical case is utilized to clarify the new ap-proach. It is represented that by utilizing this modified approach; the ranking of items may get influenced bringing about higher profits.

Supply chain management (SCM) is the active centralize of a business' supply related activities to increase customer value and enhance a competitive advantage in the marketplace. SCM in-cludes various efforts by suppliers to implement and effective supply chains which are as eco-nomical as possible. Supply chain includes several issues from production, to product develop-ment, to the information systems required to direct these undertakings. This paper presents recent advances of supply chain management and issues related in Canadian industries. According to our survey, trust is an important part of the supply chain and business partners. The study also discusses different challenges for the implementation of SCM in Canadian small and medium en-terprises.

Enterprise resource planning (ERP) is the integrated management of core business processes, of-ten in real-time and mediated by software and technology. ERP gives us an integrated and updated image of core business processes based on common databases retained by a database man-agement system. ERP systems are able to track business resources including cash, raw materials, production capacity and the status of business commitments such as orders, purchase orders, and payroll. This paper presents different experiences of the implementation of ERP in Canada.