Operations planning and flexibility in a supply chain (original) (raw)
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The Impact of Supply Flexibility on Supply Chain Performance
2015
Manufacturing operating system has been increasing from time to time. Challenging business competition coupled with the ever-changing business environment are primary factors that companies must be able to improve production efficiency and effectiveness. Supply chain management is one of the business practices in operation management that emphasizes on integrating and coordinating of product and information flows from suppliers to end costumers. The rapidly of changing market-demands have to be faced with a flexible supply chain management to reach market acceptance. The key to successful supply chain management also depends on supply flexibility; given the smooth flow of materials and parts will define the whole manufacture operation. This study aimed to analyze the impact of supply flexibility on supply chain performance. Supply flexibility consists of two variables, namely supplier flexibility and supply network flexibility. The research was conducted by taking samples from the g...
The purpose of this paper is to obtain insights into the typology of uncertainty and relevant strategies adopted by manufacturing companies to achieve better supply chain flexibility. Strategies are classified into reactive (buffering) and proactive (redesigning). We develop a framework that links supply chain uncertainty, the two types of strategies for achieving supply chain flexibility and the relevant objectives to be achieved. Four case studies are compared in terms of uncertainty typology and strategies being adopted to improve supply chain flexibility. We present three propositions as a result of the study. First, to achieve better flexibility, companies have been focusing more on buffering than on proactive or redesign strategies. Second, companies tend to focus on internal operations rather than collaborating with external parties, and third, the power structure in a supply chain governs the type and configuration of supply chain flexibility.
2016
In this paper a mathematical model will be presented for the integrated planning of supply, production and distribution problem in a multi-level supply chain which consists of producer, warehouse and customer (retailer) in uncertainty of demand situation. The proposed model provides decision making on uncertain and varying markets with regards to capacity, supply and delivery flexibility. Demand is considered to be a random variable with normal distribution and market frequencies have been incorporated into the model within various scenarios. Planning perspective, in the proposed model, has been divided into a series of strategic decision making periods with them each includes a number of tactical decision making periods and time value of money have been inserted into the model with regard to interest rate. Due to model's complexity in large scales, to solve the model we deployed particle swarm meta-heuristic optimization algorithm.
A conceptual Framework for Assesing Supply Chain Flexibility
2002
Abstract Flexibility has been considered as a major determinant of competitiveness in an increasingly intense competition in the marketplace. A large body of literature has been addressing various issues of flexibility in the last two decades. However, the discussions have mainly been from the viewpoint of a manufacturing company as a single entity in a supply chain. The flexibility related to machine, process, routing, part, worker, and the like are all associated with a manufacturing or a production system.
Analysis and measurement of supply chain flexibility
Supply chain flexibility is a strategic and tactical necessity for sustenance and progress of business enterprises. Measurement of flexibility is therefore necessary for its monitoring, control and communication. The study proposes a framework and a methodology for flexibility performance measurement of supply chains. The framework identifies flexibility objectives and its contributing attributes at four levels of the supply chain and suggests taxonomy of flexibility performance measures. A methodology to prioritise the contribution of each performance attribute to achieve the desired flexibility objective using analytic hierarchy process (AHP) has also been proposed and demonstrated in this study. The research is based on detailed literature-based study and analysis of existing frameworks of flexibility performance measurement in supply chain and expert opinion. The proposed framework is suitable for measurement, monitoring and controlling flexibility in a supply chain in addition to prioritising contributing attributes of flexibility. The research does not test the model but suggests a platform for further development.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
Public and private organizations cope with a lot of uncertainties when planning the future of their supply chains. Additionally, the network of stakeholders is now intensely interconnected and dynamic, revealing new collaboration opportunities at a tremendous pace. In such a context, organizations must rethink most of their supply chain planning decision support systems. This is the case regarding strategic supply chain capacity planning systems that should ensure that supply chains will have enough resources to profitably produce and deliver products on time, whatever hazards and disruptions. Unfortunately, most of the existing systems are unable to consider satisfactorily this new deal. To solve this issue, this paper develops a decision support system designed for making strategic supply chain capacity planning more dynamic to cope with hyperconnected and uncertain environments. To validate this decision support system, two industrial experiments have been conducted with two European pharmaceuticals and cosmetics companies.
Assessing supply chain flexibility: a conceptual framework and case study
International Journal of Integrated Supply Management, 2004
Flexibility has been considered as a major determinant of competitiveness in an increasingly intense competition in the marketplace. A large body of literature has been addressing various issues of flexibility in the last two decades. However, the discussions have mainly been from the viewpoint of a manufacturing company as a single entity in a supply chain. The flexibility related to machine, process, routing, part, worker and the like are all associated with a manufacturing or a production system. With the advent of the supply chain management concepts, business communities have been realising that being flexible in a production system only is insufficient. Thus, flexibility concepts should be broadened from the perspective of a production system into a supply chain system. However, the study addressing supply chain flexibility is still limited. This paper presents a framework for assessing flexibility of a supply chain. Four main parts of flexibility are identified including flexibility of the product delivery system, production system, product development, and supply system. In each of these parts, a number of pertinent elements are defined. A general guideline for conducting flexibility assessment is also presented. In an attempt to assess the model validity, a case study also forms a part of the paper.
Decision support framework for supply chain planning with flexible demand
International Journal of Production Research, 2009
The most challenging issue of today's production management is certainly to manage networked organisations under an uncertain demand so that to provide a good service to the customer at low cost. In this article, a model of the decision making parameters involved in this management process is suggested, on the base of case studies. A mixed integer linear planning model embedded in a framework simulating a rolling horizon planning process is described on the base of this analysis. The model takes into account the capabilities of reaction of the planned system and of its environment (suppliers, subcontractors and customers), as well as the corresponding costs. The suggested simulation framework may assist the decision maker for coping with an uncertain or flexible demand, using various planning strategies. Some possible applications of this simulation framework are given in order to illustrate how it can help to solve various types of practical planning problems.
Mathematical Modeling for Measures of Supply Chain Flexibility
Journal of the Institution of Engineers Bangladesh, 2016
Supply chain flexibility is a competitive measure of supply chain aspects. It is a linkage medium between supply chain players and business performance. It absorbs the change in market conditions, demand volume and mix, product differentiations, commodity prices, availability of technology, labor costs, and exchange rates, utilization of equipment, production and logistics environment, cultural issues or any disruption in supply chain elements. This conception can be used as flexible guide that develop very well for multistage supply chains and it is established a model to meet the balancing situation of supply chain flexibilities by adjusting weight and individual probabilities. These results would lead to support and accommodate the managerial decisions as well as global supply chain management strategy.