You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: Which Manufacturing Logistics Decisions are Supported by Operational Research? A Literature Survey 
Chapter Title:  Introduction 
1. Abstract of Cited Paper (BIB001):  There is now a vast range of techniques and methodologies, both hard and soft, available to the OR/MS practitioner. After a period of concern about methodology choice, ie ‘which method when’, we are now moving towards a pluralistic approach of combining together several methods within an intervention—multimethodology. This paper reports on a survey of OR/MS practitioners to discover the extent of multimethodology usage and which particular combinations are most commonly utilised. 
2. Abstract of Cited Paper (BIB002):  Thank you for downloading management science decision making through systems thinking. Maybe you have knowledge that, people have look hundreds times for their chosen novels like this management science decision making through systems thinking, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some infectious virus inside their computer.

Literature Review:
Manufacturing logistics deals with the design, planning and control of material flows and related information flows in manufacturing companies and their supply chains. It includes strategic, tactical and operational tasks, with scopes ranging from a single piece of equipment all the way to global supply chains encompassing several independent actors. Operational research (OR) is concerned with the development and use of quantitative models to support managerial decision-making. It is an umbrella term, covering a wide variety of models and techniques. A number of these, including mathematical programming and optimisation, simulation, inventory theory and queuing theory, have been applied frequently to manufacturing logistics decisions, such as network design, production planning and scheduling, and inventory management. However, OR is based on a number of assumptions limiting its use to a specific kind of situations. In particular, it assumes that the problem situation has been clearly defined and is well structured, that it can be sufficiently well insulated from its wider system, and that it is of a technical nature devoid of politics BIB003 . Recognizing these limitations, the question arises of where the line is drawn between problem situations that are analyzed by OR, and those that fall outside its scope BIB001 . The purpose of the survey presented in this paper is to shed some light on this question by reviewing literature reporting on OR applications to manufacturing logistics. All papers published by the journal Interfaces between 1995 and 2004 were surveyed and those describing OR applications in manufacturing logistics selected. The survey's results inform researchers and practitioners about the areas in which OR applications are reported and provide insight about historical trends and future directions for further development. The present paper can also be used in practice and education as a reference to papers reporting on OR applications. A number of surveys have been carried out previously on the use of OR in industry [3, BIB002 . However, recent surveys are mainly concerned with the popularity of different OR techniques, paying little attention to application areas. The lack of recent investigations on OR application areas emphasizes the need for such work. The remainder of this paper is organised as follows: First, scope and decision areas of manufacturing logistics are presented. Next, the methodological approach is discussed, followed by a presentation and analysis of survey findings. Finally, some conclusions are outlined and future research opportunities suggested.