Bøker av Michael Mutingi

This book presents hybrid value stream mapping tools for developing Lean and green supply chains. The tools incorporate green and Lean concepts that can assist supply chain decision makers to simultaneously minimize wastes, costs, environmental damage, and energy and material usage In addition, it provides a new integrated approach for evaluating supply chain performance from both green and Lean perspectives. As supply chain stakeholders increasingly become aware of the need to simultaneously address economic, environmental, and energy usage issues, it is essential to formulate performance objectives based on these issues. To achieve these objectives, the book provides tools and techniques for value stream mapping the supply chain. Suggested tools, such as green lean process mapping, quality filter mapping, energy value stream mapping, and supply chain response matrix can assist supply chain decision makers to simultaneously achieve green and Lean objectives centered on minimizing wastes, costs, environmental damage, as well as energy and material usage. The book is divided into three parts. Part I presents recent concepts of green and Lean paradigms, as well as green Lean performance in supply chain systems. Part II presents parallel and integrated green Lean models, based on the triple bottom line (also known as the 3E bottom line) perspective, covering aspects related to the economy, the environment, and energy and material usage. Part III presents and explains a range of tools and techniques, where Leanness and greenness are emphasized from a common view point. A compendium of Lean green value stream mapping tools are presented and illustrated using succinct procedures, flowcharts and examples.

This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. Examples of such problems are: vehicle routing problems, team formation problems, timetabling problems, assembly line balancing, group maintenance planning, modular design, and task assignment.

Healthcare operations, in hospitals and home healthcare settings, are inundated with complex fuzzy features that impose difficulties in the creation of work schedules. As healthcare workers call for schedules that accommodate their individual preferences and patients continue to call for more personalized healthcare, further research into multi-criteria solution approaches to staff scheduling is imperative.Healthcare Staff Scheduling: Emerging Fuzzy Optimization Approaches presents in-depth research into emerging approaches to healthcare staff scheduling. It starts by reviewing the key issues and challenges inherent in staff scheduling, along with the basic concepts of fuzzy set theory. Examining research applications in healthcare staff scheduling, it details promising fuzzy optimization algorithms derived from biologically inspired approaches and fuzzy theory.Providing researchers, operations analysts, scientists, and practitioners with a practical and in-depth understanding of modern fuzzy metaheuristic optimization approaches, the book presents cutting-edge research on multi-criteria algorithms and their applications in healthcare operations, particularly in staff scheduling.The book illustrates flexible techniques for solving complex scheduling problems that account for the variability that results from imprecise human preferences. Covering recent developments in the methods utilized to create high-quality staff schedules, it includes many instructive examples of healthcare schedule problems along with potential solutions.Considering avenues for future research, this book will help readers pave the way to new and improved methods for solving staff scheduling problems that are difficult to evaluate quantitatively due to imprecision, fuzziness, and vagueness.To promote the quality of the work presented, all chapters in this book have been rigorously reviewed by leading international experts and researche