Nowadays, industries cope with a wide range of situations and/or perturbations that endanger the manufacturing productivity. Traditionally, manufacturing control systems are responsible for managing the manufacturing scheduling and execution, as these have the capability of maintaining the production operations regardless of a given perturbation. Still, the challenge of these systems is to achieve an optimal performance after the perturbations occur. For this reason, manufacturing control systems must incorporate a mechanism with intelligent capabilities to look for optimal performance and operation reactivity regardless of any scenario. This paper proposes a generic control strategy for a manufacturing control system for piloting the execution of a dynamic scheduling problem, considering a new job arrival as the manufacturing perturbation. The study explores a predictive-reactive approach that couples a genetic algorithm for the predictive scheduling and an adaptive genetic algorithm for reactivity control aiming to minimize the weighted tardiness in a dynamic manufacturing scenario. The results obtained from this proposal verify that the effectiveness was improved by using adaptive metaheuristic in a dynamic scheduling problem, considering absorbing the degradation caused by the perturbation.

Cell formation and layout design are two important steps for the implementation of the production systems. The existing models majorly have focused on the cell formation issue and the layout design of machines, but have paid little attention to the placement of cells in dynamic environment. In addition, in most of the available papers, binary variables have been used for cell formation, and other information such as volume of production, operation sequences and production costs have played unimportant roles in the structure of the existing models. In this paper, a nonlinear program-ming model under potentially dynamic conditions is proposed which minimizes the cost associated with the difference between the estimated demands from its expected value. The other purpose of the proposed model includes minimization of the total costs of inter/intra cellular movements of elements (forward and backward movements), the existence of exceptional elements, intercellular displacement of machines and cellular reconfiguration and operational costs and constant cost of machineries. The problem is solved via GAMS and a Genetic Algorithm (GA) is employed to solve the large sized problems and the results are analyzed.

The aim of this study is to explore the determinants of cognitive loyalty in an online shopping envi-ronment. The study established a theoretical model by incorporating both e-service quality model and commitment-trust theory. A total of 937 responses were collected form Indian online shoppers by using the mail survey method. We assessed measurement model and structural model by using SPSS and AMOS. Study outcomes confirm that customer satisfaction, e-trust, commitment, and cognitive loyalty were strongly influenced by e-service quality and perceived value. Further, satisfaction had direct and positive influence on both e-trust and commitment but not on cognitive loyalty. E-trust had a positive impact on e-commitment and cognitive loyalty. Lastly e-commitment had a positive influence on cognitive loyalty. Based on the existing literature, there was a dearth of theo-retical understanding of cognitive loyalty in an emerging economy perspective. Thus, the current study accomplished the critical theoretical gap by encompassing previous investigations. We examined the phenomenon of customer loyalty by integrating e-service quality model and commitment-trust theory in business to consumer e-commerce environment while considering e-satisfaction as a mediator, highlighting the originality and contribution of the current research to the online consumer loyalty literature.

The medical industry incorporates technology and breaks different types of equipment into three various categories determined according to the technologies and their usage. The first category, which is the focus of this article, consists of devices that are directly linked to the life of the patients, for example a ventilator. The purpose of this study is to develop a new reliability technique, based on the Reliability Block Diagram (RBD) and Petri Net, for Category 1 equipment. The RBD, focuses on showing how the failure of different parts could affect the sub-systems of the equipment and how those failures could cause an overall system failure. The second method, Petri Net, is a tool that is used to analyze various types of information processing systems. Combining these two methods will allow the user to determine the reliability of the different systems and subsystems with various pieces of equipment. The knowledge gained by this analysis will be used to determine the likelihood that the failure of specific subsystems will cause an overall system failure. The overall anticipated result is to thoroughly develop this new methodology. The complete process that is used to finish the calculation process for the subsystems will be shown, in addition to the completion of the final Reliability Block Diagram.

Image perception has been acknowledged as a critical component of branding. Perception of image is comparatively difficult for intangible entities like ‘destination’. Research initiatives, thus far, has postulated destination branding on associations namely cognitive and affective image inputs. Multi-sensory brand associations were never tested for destination branding model, although, sensory brand associations were found to play major role in the tangible product branding and influence purchase behaviours. Further, attributional elements, specific to destination are assumed to play critical role in developing the brand identity leading to choice of destination. Perceived destination brand image was empirically tested for its influence on post-travel behaviours and was identified as one of the potent travel motives, however, the predictive capability of perceived destination brand image on favourable post-travel behaviours seems to fall off due to reasons unknown. Researchers like Fournier, observed that relationship-branding can induce favourable post-purchase behaviour. This study focuses on developing a destination brand model using conventional brand associations, namely cognitive and affective image inputs, and new associations, namely, attributional and senso-ry image inputs. The study further incorporates relationship-branding as a multiplex phenomenon and tested its possible intervening impact between perceived destination brand image and post-travel behaviours. The results established the destination brand model based on the image associations and confirmed the role of relationship-branding as a para-social and socio-emotional moderator to influence post-travel visitor behaviour. The study plugs in the gap that existed in the present body of knowledge addressing destination branding and reinforces the relationship theory in establishing the ‘brand–purchase–post-purchase behaviour’ triad.

Innovation has become unavoidable choice for companies to survive. However, a high percentage of new products fail, which increase the risk of using innovative ideas. Therefore, to control and reduce the risk of introducing new products, most companies need to invent new products that can meet the customers’ real needs. Accordingly, customer must be the main source of the information through which the ideas of new products are generated. Having the knowledge about the market needs and trends is not enough as the knowledge needs to be translated into real products. Hence, capabilities, in this context, play a vital role to enhance product innovation performance of the organizations. Thus, this study investigates the role of manufacturing capabilities in enhancing the or-ganizations’ abilities to translate the ideas into the right product that can meet customers’ needs. Moreover, this paper discusses the link between customer knowledge management and developing manufacturing capabilities. The study is conducted in Malaysia, and uses the information of 134 manufacturing companies for the survey. Partial least square is used to obtain the results. The findings are discussed and compared with other results in the literature.

The purpose of this experiment is to investigate the effect of the environmental scent on the sensory and physical aspects of the consumer's experience. Samples were tested in a pre-test and post-test group for two days with one week interval. At the time of the post-test, the subjects were exposed to a gardening fragrance when exposed to customer service. In this paper, an independent variable called environmental notes and six dependent variables including feelings of comfort, perception of waiting time, perceived service quality, loyalty, charming sensation, and service satisfaction were used for testing. This research is, in terms of purpose or orientation, applied and operational, descriptive and experimental. In this study, alternative assumptions about the effect of the environmental scent on feelings of comfort, perception of waiting time, loyalty and charming sensation were approved, but the effect of the environmental scent on perceived service quality of service and service satisfaction were not approved. According to the results of this research, it can be said that consumers’ environmental perception had a positive impact on the sensory dimension of customer’s experience in customer service, but did not affect their physical experiences.

One of the primary objectives in product development is to reach an appropriate design perspective. This paper proposes a methodology, which uses functions, mechanisms, and attributes of the product to solve a design problem. The proposed approach works as a supporting methodology to assist young researchers as well as design engineers and the implementation of the method is demonstrat-ed using a real-world case study of home appliances. A survey is conducted to identify six home appliances that have the highest frequency of daily use and to determine the one, which creates troubles for its users. The results of this study can be further used in TRIZ to identify innovative solutions.

The study investigated the factors that attract consumers to adopt online air ticketing within the Ghanaian context. The study followed the positivist paradigm approach hence, quantitative method-ology was adopted. The total population for the study covered passengers of Africa World airline, Antrak air, Fly 540 and Starbow airline. The target population for this study consisted of all the cus-tomers in these institutions that have in one way or the other purchased or booked their flight ticket on the website. Stratified random sampling was used in the first stage to ensure that all subgroups were fairly represented. The study employed purposive sampling and afterwards the study used the Krejcie and Morgan sampling table to determine the sample size for the 250 population size. Based on the table, the sample size for the study employed was 152. Since the study was guided on the principles of quantitative methodology, this study used questionnaires on a 5 point Likert scale for the study. The study distributed 152 questionnaires to passengers of the selected airline companies within the Kumasi metropolis in the Ashanti region. From the questionnaires distributed, a total of 89 completed questionnaires were returned to the researchers. Of these, 79 were usable for analysis, giving an effective response rate of 55.6%. Data was subsequently analysed using descriptive statis-tics such as mean and standard deviation. Inferential statistics included Pearson correlation, multiple regression (enter method) were used for the relationship analysis. Findings from the study showed that the variables that had the significant impact on respondents’ decision to adopt online air ticketing were; trust, attitude, perceived risk and internet knowledge. The study recommended that the managers of these airlines companies should work on their reputation in order to position them-selves as trustworthy airlines companies since consumer’s decision to use their online platforms to purchase their ticket was informed by how the consumer perceived the entities offering to be dependable and secured.

The purpose of this paper was to examine the relationships among work overload (WO), compensation (COM), organizational identification (OI) and organization embeddedness (OE) in the context of manufacturing industry in China through social identity theory. A 37-item questionnaire was filled by 384 new generation of rural migrant workers. Data were examined through a two-stage of first-order of reflective model and second-order reflective-formative hierarchical model using PLS-SEM. The empirical results indicate that COM and OI positively and significantly predicted OE, while WO was found to have no direct effect on OE. In addition, COM positively and significantly was associated with OI, whereas WO affected OI, negatively. Further examination of the mediation effects of OI revealed that OI could fully mediate the relationship between WO and OE. Moreover, OI also had a partial mediator role in the relationship between COM and OE. The study concluded with several implications and recommendations for future research.