Product mix: The approach of throughput per day

Defining product mix is very important for organisations because it determines how productive resources are allocated among various operations. However, it is often defined subjectively. The methods commonly used for this definition are Integer Linear Programming and heuristics based in Theory of Constraints, which use maximum throughput as a performance measure. Although this measure provides maximum throughput to specific problem, it does not consider aspects of time, as days, utilised to make the throughput. Taking this into account, the aim of this paper is to present a throughput per day approach to define product mix, as well as to propose a constructive heuristic to help in this process. The results show that the proposed heuristic obtained satisfactory approximation when compared to the optimum values obtained by enumeration. © 2013 Copyright Taylor and Francis Group, LLC.

Desenvolvimento de um software de apoio ao ensino de métodos de planejamento e controle da produção em ambientes MTS baseado na teoria das restrições

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Conceitos de gestão de projetos e teoria das restrições, aplicados ao planejamento e controle da produção de uma empresa aeronaútica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Produzindo para disponibilidade: uma aplicação da Teoria das Restrições em ambientes de produção para estoque

The objective of this paper is to present how the Theory of Constraints has recently been dealing with make to stock environments. This new format introduces interesting innovations in terms of the use of simplified Drum-Buffer-Rope method as well as ways to pull production in environments that produce in advance of demand. It also innovates by creating conditions for providing market opportunities based on the explicit assurance of product availability, hence its name: make to availability (MTA). Although it provides important contributions to production planning and control, articles that have directly addressed this issue have not been identified to date in both national and international journals.

Construção de um sistema de gestão de materiais - MRP - Integrado ao Jogo de Empresas Mercado Virtual

Pós-graduação em Engenharia de Produção - FEB

Comportamento do fator de potência de uma serra de fita vertical e de um picador em uma serraria

This work aims to present the electrical behavior of two mechanical processing equipment of wood, the saw vertical tape and the wood chipper. Their characteristics in real operating conditions and the electrical behavior of devices in terms of energy efficiency is shown through the study of individual power factor are presented in this study. It was observed that both devices operate unloaded for some intervals of time and this contributes to a low power factor. It is concluded that improved production planning and better preparation of the operators in the operations of sawing wood, in order to improve the power factor in sawmills is necessary.

Avaliação do Sistema Simplified Drum-Buffer-Rope em ambientes de produção para estoque

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Developing an enterprise simulator to support electronic supply chain for B2B electronic process

The application of any e-Solution promises significant returns. In particular, using internet technologies both within enterprises and across the supply (value) chain provides real opportunity, not only for operational improvement but also for innovative strategic positioning. However, significant questions obscure potential investment; how any value will actually be created and, importantly, how this value will be shared across the value chain is not clear. This paper will describe a programme of research that is developing an enterprise simulator that will provide a more fundamental understanding of the impact of e-Solutions across operational supply chains, in terms of both standard operational and financial measures of performance. An efficient supply chain reduces total costs of operations by sharing accurate real-time information and coordinating inter-organizational business processes. This form of electronic link between organizations is known as business-to-business (B2B) e-Business. The financial measures go beyond simple cost calculations to real bottom-line performance by modelling the financial transactions that business processes generate. The paper will show how this enterprise simulator allows for a complete supply chain to be modelled in this way across four key applications: control system design, virtual enterprises, pan-supply-chain performance metrics and supporting e-Supply-chain design methodology.

Requirements for modelling e-business processes

Companies must not see e-Business as a panacea but instead assess the specific impact of implementing e-Business on their business from both an internal and external perspective. E-Business is promoted as being able to increase the speed of response and reduce costs locally but these benefits must be assessed for the wider business rather than as local improvements. This paper argues that any assessment must include quantitative analysis that covers the physical as well as the information flows within a business. It is noted that as business processes are e-enabled their structure does not significantly change and it is only by the use of modelling techniques that the operational impact can be ascertained. The paper reviews techniques that are appropriate for this type of analysis as well as specific modelling tools and applications. Through this review a set of requirements for e-Business process modelling is derived.

A heuristic approach for component scheduling on a high-speed PCB assembly machine

The collect-and-place machine is one of the most widely used placement machines for assembling electronic components on the printed circuit boards (PCBs). Nevertheless, the number of researches concerning the optimisation of the machine performance is very few. This motivates us to study the component scheduling problem for this type of machine with the objective of minimising the total assembly time. The component scheduling problem is an integration of the component sequencing problem, that is, the sequencing of component placements; and the feeder arrangement problem, that is, the assignment of component types to feeders. To solve the component scheduling problem efficiently, a hybrid genetic algorithm is developed in this paper. A numerical example is used to compare the performance of the algorithm with different component grouping approaches and different population sizes.

The impact of the performance measurement systems in setting the 'direction' in the University of Warwick

This paper presents a case study examining the role of performance measurement systems in setting organizational ‘direction’. There is a growing concern in the existing literature to link the development of organizational ‘direction’ with performance measurement systems. Furthermore, the alignment between organizational ‘direction’, strategy and performance measurement is an area of increasing interest for both academics and practitioners. However, there is no adequate research recorded in the literature on the use of the performance measurement systems and the potential impact that performance measurement can have in setting the organizational ‘direction’. This study reports the findings of a case study from one of the leading academic institutions in the UK, the University of Warwick, presenting the main characteristics of its performance measurement system and attempting to explain the connection with setting the university’s ‘direction’.

A multi-agent system using iterative bidding mechanism to enhance manufacturing agility

The global market has become increasingly dynamic, unpredictable and customer-driven. This has led to rising rates of new product introduction and turbulent demand patterns across product mixes. As a result, manufacturing enterprises were facing mounting challenges to be agile and responsive to cope with market changes, so as to achieve the competitiveness of producing and delivering products to the market timely and cost-effectively. This paper introduces a currency-based iterative agent bidding mechanism to effectively and cost-efficiently integrate the activities associated with production planning and control, so as to achieve an optimised process plan and schedule. The aim is to enhance the agility of manufacturing systems to accommodate dynamic changes in the market and production. The iterative bidding mechanism is executed based on currency-like metrics; each operation to be performed is assigned with a virtual currency value and agents bid for the operation if they make a virtual profit based on this value. These currency values are optimised iteratively and so does the bidding process based on new sets of values. This is aimed at obtaining better and better production plans, leading to near-optimality. A genetic algorithm is proposed to optimise the currency values at each iteration. In this paper, the implementation of the mechanism and the test case simulation results are also discussed. © 2012 Elsevier Ltd. All rights reserved.

An iterative agent bidding mechanism for responsive manufacturing

In today's market, the global competition has put manufacturing businesses in great pressures to respond rapidly to dynamic variations in demand patterns across products and changing product mixes. To achieve substantial responsiveness, the manufacturing activities associated with production planning and control must be integrated dynamically, efficiently and cost-effectively. This paper presents an iterative agent bidding mechanism, which performs dynamic integration of process planning and production scheduling to generate optimised process plans and schedules in response to dynamic changes in the market and production environment. The iterative bidding procedure is carried out based on currency-like metrics in which all operations (e.g. machining processes) to be performed are assigned with virtual currency values, and resource agents bid for the operations if the costs incurred for performing them are lower than the currency values. The currency values are adjusted iteratively and resource agents re-bid for the operations based on the new set of currency values until the total production cost is minimised. A simulated annealing optimisation technique is employed to optimise the currency values iteratively. The feasibility of the proposed methodology has been validated using a test case and results obtained have proven the method outperforming non-agent-based methods.

An opportunity for system dynamics in manufacturing system modelling

The computer simulation of manufacturing systems is commonly carried out using discrete event simulation (DES). Indeed, there appears to be a lack of applications of continuous simulation methods, particularly system dynamics (SD), despite evidence that this technique is suitable for industrial modelling. This paper investigates whether this is due to a decline in the general popularity of SD, or whether modelling of manufacturing systems represents a missed opportunity for SD. On this basis, the paper first gives a review of the concept of SD and fully describes the modelling technique. Following on, a survey of the published applications of SD in the 1990s is made by developing and using a structured classification approach. From this review, observations are made about the application of the SD method and opportunities for future research are suggested.