![]() Statistical Package for Social Sciences (SPSS version 20) and analysis of moment of structures (AMOS version 23) were used for data analysis. Data was collected using a self-administered questionnaire survey from a random sample of 213 respondents. Methods: This paper presents an alternative methodology to investigate the relationship of master production scheduling on blood transfusion sustainability of blood banks in Uganda. Finally to determine the relationship of perishability element and blood transfusion sustainability. Second, to determine the relationship of demand element and blood transfusion sustainability. First, to determine the relationship between supply element and blood transfusion sustainability. Objective: The purpose of the study was to investigate relationship of master production scheduling on blood transfusion sustainability of blood banks in Uganda with three objectives. The elements of master production scheduling included supply, demand and perishability. Introduction: This study investigates the relationship between master production scheduling and blood transfusion sustainability of blood banks in Uganda. Using sophisticated MPS methods reduces the negative effects of complex planning environments and results in more feasible plans irrespective of environment complexity and process maturity. Results thus suggest that sophisticated MPS may generally affect performance both directly and indirectly. Findings also indicate that both MPS process maturity and sophisticated MPS methods mediate the negative performance prompted by complex planning environments. The maturity of the MPS process most significantly impacts all performance measures, whereas planning environment complexity shows only a weak negative impact. ![]() An analysis of survey data from a sample of Swedish manufacturing companies reveals a significant negative effect of less sophisticated methods compared to highly sophisticated ones in terms of plan feasibility, as well as a significant negative effect of the simplest method in considering available capacity compared to highly sophisticated methods in terms of delivery service. ![]() We define six MPS methods, ranging from those that ignore capacity to those exhibiting capacity-constrained planning using optimisation. In this study, we therefore investigate how sophisticated MPS methods impact three perception-based performance variables-namely, plan feasibility, inventory turnover rate, and delivery service-while accounting for the complexities of planning environments and MPS maturity. However, empirical evidence showing that sophisticated methods are better than simpler ones remains scarce, and companies have reported difficulties with using sophisticated planning methods. Literature addressing master production scheduling (MPS) typically focuses on the development of sophisticated MPS methods with the expectation that these methods will result in feasible plans and improved performance.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |