Wirtschaftsingenieurwesen und Management

McDonald’s is largest fast food chain in world, it is also known for its speed of operation. It is present in 118 countries with 36900 outlets. It is very crucial task to satisfy every customer where their expectation are very high, all they want is hygiene, taste, cleanliness, reliable price, fast delivery and many more. In India there is 250 eating outlets covering 40 cities and they add more outlets every time. McDonald’s entirely outsourced its service and managed quite long supply chain network in India. It uses various models like HUB and SPOKE model and different software like SAP SCM, RAMCO ERP with COBRA. The explanation will help to understand the flow of supply chain management and its tool in India.

Purpose: Attention resource is scarce. Organizing community activities in online forums faces the challenge of attracting users’ limited attention. Understanding how users of online forums allocate, maintain, and change their attentional focus and what features of online forms influence their attention behaviors is critical for effective information design. This paper seeks understanding of users’ attention behaviors and features when they participate in discussions in online forums.

Design/methodology/approach: A conceptual model was established to explore the indicator system of attention’s measurement. The related attention data were collected from Alexa Access Statistics Tool and Katie community. Then this paper computed the correlation coefficient and regression relationship between the indicators of visual attention and cognitive attention. There after this paper analyzed and discussed users’ attention behaviors and features in Internet forum.

Findings: Relevant bivariate correlation analysis and regression analysis discovers that Internet forum's attention is mainly as visual attention in users’ early involvement. Attention resources can be transformed. In a deep participation, users’ cognitive attention is more significant. Meanwhile cognitive attention behaviors’ further development will lead to the phenomenon that cognitive attention input is prone to increase faster in the early duration. That means in-depth discussion and interaction are more likely to appear in the early stages of participation.

Research limitations/implications: There are some limitations about this study. The indicators are not comprehensive enough because factors affecting the distribution of attention resources in Internet forums are complex. We didn’t distinguish different types of Internet forums when we collected the relevant data. Future research will focus more on how to obtain comprehensive attention data.

Originality/value: This paper shows a new perspective that we can find users’ attention behaviors and features using the attention data from its mapping object, which can help operators of portals and Internet communities to attract users’ limited attention.

Purpose: The main contribution of this paper is to generate an optimum solution for capacity planning and appointment scheduling issues, which are frequently encountered in clinical flows with various route and treatment periods at dental hospitals.

Design/methodology/approach: It is essential to define the system well in order to ensure that the working staff and patients use their time very efficiently and that the process flows continuously. By having examined a sample healthcare system through the help of a study addressed in such context, studies on process improvement in line with the dissatisfactions of the working staff and patients have been carried out. Within the scope of the study, the operation of 7 Departments in a dental hospital undergoing a treatment process have been reviewed and examined. The problems encountered as result of the observations made are discussed in detail, and formerly and recently designed system performance analyses are conducted by having performed the respective process improvement studies. The relevant samplings of this study are modelled via the Arena Simulation Program. The data of the previous four months is used in the parameters, which are used through the modelling. The system data are entered by taking into account seasonal characteristics of the data.

Findings: The analyses are made as a consequence of such study that has been addressed, it is established that the efficiency of the internal customers of the hospital increases substantially, and that the waiting durations of the dental patients decrease and in turn, the external customer satisfaction increases drastically.

Research limitations/implications: Under the scope of the present study, 7 different treatment processes are analysed in a dental hospital in Cukurova Region with a significant patient potential. The treatment clinics present in the hospital are radiology, periodontology, surgery, treatment, orthodontics and prosthesis. These clinics run their own appointment and treatment system independently. Thus, the study has limited with five departments among 7.

Originality/value: With this study, given the flow of different existing treatment processes belonging to patients are optimized, and also the continuity of the system is ensured by minimizing the patient waiting times within the existing system.

Purpose: This paper addresses a comprehensive modeling and functionality evaluation of a module-based quality system in production logistics at the highest domain abstract level of business processes.

Design/methodology/approach: All domain quality business processes and quality data transactions are modeled using BPMN and UML tools and standards at the business process and data modeling. A modular web-based prototype is developed to evaluate the models addressing the quality information system functionality requirements and modularity in production logistics through data scenarios and data queries.

Findings: Using the object-oriented technique in design at the highest domain level, the proposed models are subject further development in the lower levels for the implementing case. The models are specifically able to manipulate all quality operations including remedy and control in a lot-based make-to-order production logistics system as an individual module.

Practical implications: Due to the specification of system as domain design structure, all proposed BPMs, data models, and the actual database prototype are seen referential if not a solution as a practical “to-be” quality business process re-engineering template.

Originality/value: This paper sets out to provide an explanatory approach using different practical technique at modeling steps as well as the prototype implementation.

Bangladesh has demonstrated strong economic fundamentals with a consistent GDP growth rate over 7 percent in last few years. With this rapid economic growth, the demand of electricity will also be increased. Since the development of power sector is dependent on many factors, the power sector of Bangladesh is very challenging. In this case study, a brief discussion on Power sector of Bangladesh has demonstrated with recent information and data including power crisis of the country. Future plans and programs of Power sector has been discussed too. A detailstudy on power demand and production is also calculated. Our main objective was to provide a genuine power scenario of Bangladesh and calculate the upcoming demand by 2042 which will be followed by some recommendations through which the Power sector of Bangladesh can improve. The forecasting was calculated by multiple regression analysis using GMDH Streamline software.