Holt, Modigliani, Muth, and Simon's work and its role in the renaissance and evolution of operations management (original) (raw)

Sales and operations planning: A research synthesis

International Journal of Production Economics, 2012

Despite the growing body of literature on sales and operation planning (S&OP), efforts to synthesise the overall state of the art of research in this area are limited. Within this context, this paper provides a systematic review of the literature on S&OP. The purpose of this systematic review is twofold: (i) to integrate the highly dispersed work on S&OP in order to identify and analyse S&OP as a business process and (ii) to assemble quantitative evidence of its impact on the performance of the firm. A literature search framework is proposed, with 271 papers reviewed and classified. The framework embraces S&OP context information, inputs and goals, structure and processes, outcomes, and results. The major expected outcome in most papers was a cross-functional integration of plans, although few studies report on the integration of finance plans into S&OP. Despite the existence of common process descriptors and definitions of S&OP, there is a lack of unifying frameworks for maturity models, measurement of S&OP, and constructs related to the firm's performance. The need for additional scientifically sound survey or case study research on S&OP is emphasised. This paper contributes to a better understanding of S&OP's role as a determinant of firm's performance in the supply chain.

Proposal for a Reference Model for Sales & Operations Planning and Aggregate Planning

Companies are increasingly adopting practices aimed at improving the quality of management, with the main purpose of enabling them to act competitively in the present market characterized by high competition and strong organizational changes. Among the improvements developed, we highlight the adoption of Enterprise Resource Planning (ERP) systems. However, the high cost of deploying and maintaining this type of technology can be a barrier for small and medium-sized enterprises (SMEs) that want to achieve such advances. Therefore, it is essential to develop a reference model of typical business planning modules to support ERP implementation, aiming at reducing time and cost in the elaboration of a particular model. In this context, the main objective of this paper is to develop a reference model from the elaboration of the processes related to Sales & Operations Planning (S&OP) and Aggregate Planning (AP), important modules of Production Planning and Control (PPC). The methodology used for the elaboration of this work was divided in eight sequential stages: study of the functions of S&OP and AP, study of process modeling area, definition of reference model processes, choice of modeling notation, choice of modeling tool , development of the reference model, software development and results analysis. The modeling methodology employed in this work was the Business Process Model and Notation (BPMN), through the tool Bizagi Process Modeler version 3.1.0.011. The software was developed through the interface Delphi version 7.0 (Object-Pascal language) in order to apply the reference model in the support to the implementation of a business management tool. As results, from a formal documentation, the reference model proved to be a useful tool in understanding and communicating the business processes raised. It is also concluded that the implemented model is able to support the implementation of production management systems in real situations.

Operations and Supply Chain Management

2020

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AGGREGATE PRODUCTION PLANNING: MIXED STRATEGY

This article is a mathematical model to make decisions in the aggregate production planning of a pump manufacturing company. The mathematical formulation proposed is based on process selection and lot-sizing models. The aim is to help the planners in selecting the industrial processes used to produce pumps and the inventory strategy. The planning period is one year and decisions are taken on a discrete time. A case study was developed in a pump manufacturing company. Under mixed strategy, both inventory and workforce levels are allowed to change during the planning horizon. Thus, it is a combination of the " chase " and " level " strategies. This will be a good strategy if the costs of maintaining inventory and changing workforce level are relatively high. Optimization models are generally used to determine an optimum mixed strategy. In this paper, we use Python program to optimize the problem. Index terms: aggregate production planning, mixed integer programming, mixed strategy, python.

Five Decades of Operations Management and the Prospects Ahead

Management Science, 2004

O perations and Supply Chains is the current title for a department that has evolved through several different titles in recent years, reflecting its evolving mission from a focus on classical operations research at the time of ORSA's founding 50 years ago toward an embrace of a broader body of theory. Throughout this evolution, the focus on applied problems and the goal of improving practice through the development of suitable theory has remained constant. The Operations and Supply Chains Department promotes the theory underlying the practice of operations management, which encompasses the design and management of the transformation processes in manufacturing and service organizations that create value for society. Operations is the function that is uniquely associated with the design and management of these processes. The problem domains of concern to the department have been, and remain, the marshalling of inputs, the transformation itself, and the distribution of outputs in pursuit of this value-creating end. Over the past 50 years the department has had a variety of titles, reflecting an evolving understanding of the boundaries of the operations function. In this article we celebrate past accomplishments, identify current challenges, and anticipate a future that is as exciting and opportunity-rich as any our field has seen.

An Advanced Analytical Proposal for Sales and Operations Planning

Engineering Analytics, 2021

The importance of building advanced analytical models to support the sales and operations planning process (S&OP) is increasingly recognized. Despite this, there are very few academic or commercial approaches in this regard. This project presents an integrated support proposal for the S&OP. On the demand side, it includes the use of a random forest regressor to forecast sales in terms of average prices. On the supply side, a mixed binary programming model that maximizes the present value of the monthly flow of marginal contributions including supply and demand decisions, is presented. The proposal has been successfully tested with different products and configurations, concluding that the well-known techniques of optimizing the supply given a demand or managing the demand given a supply capacity, have a better solution if they are integrated and promotion decisions are incorporated in the presence of limited capacities, economies of scale and seasonal demand. The concepts used in this model come from the supply chain management, revenue management and enterprise profit optimization models.

Sales and Operations Planning: A Business Practice to Align Supply Chains

International Journal of Advanced Engineering, Management and Science

To summarize the existing knowledge in the scientific literature about the relationship between Sales and Operation Planning (S&OP) and alignment of the stakeholder in the supply chains. Design/methodology/approach:Bibliometric research using text mining over 37 selected papers,Scimago Journal Rank Q4 or better. Findings:Our findings suggest that the relationship between S&OP and alignment has rarely been studied in the academic literature. Research limitations:These results indicate the need for more studiesto build a theory for alignment based in Sales in Operations Planning practice. Practical implications: This paper presents a research agenda to close the gap between practice and promise in supply chain management. Paper type:Literature review. Originality/value: This paper makes two specific contributions to the literature. First, It provides an agenda for research in functional alignment in the SupplyChain; and next:promotes the need to capitalize on the advantages offered by text mining in the operations planning field.

Forecasting for inventory planning: a 50-year review

Journal of the Operational Research Society, 2009

Forecasting and planning for inventory management has received considerable attention from the OR community over the last 50 years because of its implications for decision making, both at the strategic level of an organization and at the operational level. Many influential contributions have been made in this area, reflecting different perspectives that have evolved in divergent strands of the literature, namely: system dynamics (SD), control theory and forecasting theory (both statistical and judgemental). Although this pluralism is healthy in terms of knowledge advancement, it also signifies the fragmentation of the OR discipline and the lack of cross-fertilization of ideas to develop more comprehensive approaches towards the resolution of the same issues. In this paper, the relevant literature is reviewed and synthesized to promote some convergence between these different approaches to inventory forecasting and planning. The review concludes with an inter-disciplinary agenda for further research.