Development of demand pull type control methods: The design of block action production control methods to reduce throughput time and improve supply chain synchronization

In this paper the implementation of time based manufacturing strategies and pull type control systems in an organization manufacturing electrical switchgear built to customers individual requirements are discussed in detail. The concept of block control to synchronize the production time of all internally and externally sourced components and materials is also introduced in an attempt to simplify production control methods and reduce throughput time. Savings in time and cost are described during a twenty months period of restructuring. Foundations were laid for a second objective which is an attempt to gain some linkage between throughput time reduction and resultant production costs.     

EF-based strategies for productivity improvements at wet-etch stations

Abstract

In complex manufacturing environments, Cycle Time (CT) reductions obtained at critical production steps could generate considerable productivity improvements and lead to capacity increases at no investment costs. A wet-etch station operating in a real semiconductor manufacturing plant has been modelled to investigate the impact of different assignment strategies on CT performance. Assignment strategies based on the “Earliest Finish” (EF) concept have been developed and their productivity efficiency compared with a workload balance-based strategy. The EF-based strategies differ from each other for both computational complexity and amount of real-time information required. Encouraging results obtained for a high detail level EF strategy have inspired the development of conceptually similar strategies characterised by reduced implementation efforts. Fundamental implementation constraints, suggested by the manufacturing engineers familiar with the wet-etch station, have been taken into account throughout the different stages of this study. CT reductions ranging between 11% and 28% could be achieved at the modelled wet-etch station.     

Can you have your cake and eat it? Investigating trade-offs in the implementation of green initiatives

Abstract

Is it possible for manufacturing or service businesses that pursue green initiatives to ‘have it both ways’? In the words of some researchers in the corporate sustainability field, the answer is ‘no’. According to those authors, executives who attempt to implement a green agenda in their firms will encounter tensions/trade-offs at various levels and in different forms. Assessment of these trade-offs is a critical issue in the formulation and implementation of corporate sustainability strategies. Similarly, some authors in the operations management field affirm that, due to the limitations of all manufacturing and service systems, trade-offs in their operations are inevitable. In order to provide insights into these important issues, our paper investigates potential trade-offs in the implementation of a green initiative in a SME that manufactures cleaning products. The results show that there is a trade-off between the green initiative pursued by the SME and its overall production costs. Interestingly, once other problems were resolved, this trade-off did not stop the SME from implementing the green initiative. Important implications for practitioners and researchers are discussed, and opportunities for future investigations are outlined.     

CIM implementation for job-shop environments

Abstract

Abstract. The small to medium-sized job-shop manufacturing industry can benefit most from the implementation of computer integrated manufacturing (CIM) technology, to meet the increasing demand for high-quality and economically priced products. The injection mould making industry is a typical representative for this group, where a manufacturer would generally produce moulds which consist of parts that are standard to every mould type or very similar. Thus, manufacturing techniques, such as group technology (GT), and production planning and control (information) management systems could make significant contributions in improving the efficiency of design and production operations.

The objective of the project, presented in this paper, was the development of a GT-based classification and coding (C/C) system for injection mould parts especially for the design and process planning phases, and the development of a production planning and shop-floor control (SFC) information management system.

An extensive investigation was carried out on existing GT-based C/C systems. This investigation, followed by a thorough examination of many injection mould parts for determining geometric similarities, led to the development of part families (classes) required for GT implementation. An OPITZ-type GT system was developed, thereafter, for the C/C of the manufactured parts of the target company.

The production planning and control software that has been developed for the target company utilizes a relational data base management system. It consists of 13 application programs, which provide a tool of organizing information for efficient production planning and SFC. The programs are designed to cover all manufacturing operations of a job from the proposal to the final testing stage. Shop orders and dispatch lists are created using this software for effective and prioritized SFC. Shop status and job status reports are generated based on feedback information received through time card entries.     

Development of an integrated information management model: A case of textile industry

For past two decades many organisations have tried to implement integrated information management systems for better production management based on co-ordination of information and therefore activities of different departments. Although Enterprise Resource Planning systems have been in the market for the past decade, many industries find it difficult to implement such systems due to the amount of work involved in streamlining the documentation, customisation and of high costs reported in implementation. An attempt is made through this paper to propose an integrated model, which can be easily understood by production personnel, with specific emphasis on the textile sector.     

A simulation study comparing performance of CONWIP and bottleneck-based release rules

Many firms seeking production economies and quicker throughput times have adopted cellular manufacturing techniques. New product introductions, increased product variety and process changes all add elements of uncertainty to the cell, and dynamic management techniques are required to achieve the benefits expected. This paper considers the problem of managing the flow of material into a manufacturing cell in order to maximize the output rate for a given level of work-inprocess inventory. The manufacturing cell is patterned after an Intel facility that assembles and tests microprocessors for the computer industry. The cell is studied under conditions in which a single bottleneck arises and those under which there are multiple bottlenecks. Alternative procedures for releasing material into the cell are evaluated in order to determine which offer the greatest advantage to managers.     

Manufacturing cycle time reduction using balance control in the semiconductor fabrication line

In semiconductor manufacturing, wafer fabrication is the most complicated and important process, and is composed of several hundred process steps and involves several hundred machines. The productivity of the manufacturing process depends mainly on controlling the balance of WIP (work-inprogress) flow to achieve maximum throughput under short manufacturing cycle times. This paper discusses how to determine the proper WIP level for operations, against which balance status can be measured. Balance measurement can be applied in mathematical modelling for bottleneck scheduling and operations management of the fabrication line. Performances are evaluated through computational experiments to show that balance driven management leads to 15-33% more production in 21% shorter manufacturing cycle time than production driven management.     

Critical success factors of TQM: A select study of Indian organizations

In the context of TQM, it is essential that the organizations identify a few key critical success factors, which should be given special attention for ensuring successful implementation of TQM program. The concept of critical success factors (CSFs) and their use in supporting planning efforts was originated from the approach associated with the development and implementation of management information systems. This paper represents a review of the literature on CSFs and supported by various philosophies of TQM. Such factors are considered as conducive to the success of TQM implementation. Based on an exploratory study of Indian organizations engaged in manufacturing and services, CSFs have been identified.     

Management innovation: a dynamic analysis of the implementation phase over time

Abstract

We develop management innovation theory, providing insights into the role of time in the implementation phase. The management innovation literature has sought to empirically identify factors that facilitate or hinder management innovation implementation from a static perspective. To address the evolution of these factors’ resistance, a temporal perspective is appropriate, but an analysis of these factors’ evolution over time is lacking. We identify the inhibiting factors that influence the management innovation implementation phase over time and address ways in which they evolve.We conduct a comparative longitudinal and dynamic analysis based on two intermediate-sized enterprises and address the obstacles that emerge during the implementation phase of a specific management innovation: lean manufacturing. Our results highlight different categories of inhibiting factors: some inhibiting factors appear at the beginning of the implementation phase with high intensity and then fade over time; conversely, other inhibiting factors appear later and then increase in intensity.     

Cloud platforms for remote monitoring system: a comparative case study

Abstract

Currently, industrial companies are increasingly introducing services to extend their tangible products. Remote monitoring solutions are one of the most implemented services by machine builders to manage their relationship with customers and also improve their business performance in the digital manufacturing era. However, the conventional method of remote monitoring cannot fulfill distributed business environments. Therefore, new solutions are needed to enable remote connection in manufacturing. By reviewing recent literature and proposing new features for software which can be used for remote service and operations, this research paper introduces a remote monitoring system connecting into a central cloud-based system with edge computing network architecture, namely Cloud-based Remote Monitoring (CloudRM). This proposed CloudRM also has been implemented in two different case companies for analysis and evaluation from a value proposition and technical implementation point of view. It shows significant improvement in production management and measurement by using CloudRM.     

A finite capacity material requirements planning system

In a discrete parts manufacturing environment, material requirement planning (MRP) is carried out without considering the manufacturing resource capacity. As a result, during implementation, adjustments in planned orders may become necessary. This paper presents a finite capacity material requirements planning algorithm (FCMRP) to obtain capacity-based production plans. These plans need no costly adjustments to satisfy the capacity constraints. Performance of the FCMRP system, when studied through a set of test examples, has been found to be superior to the existing MRP system.     

Reengineering of a supply chain management system: A case study

A business process reengineering (BPR) project concerning a supply chain management (SCM) system of a heavy machinery manufacturing company has been discussed in this paper. The BPR implementation process model has been described. The principal objective of this project has been to bring about radical changes in the mind sets, management styles and systems of a very mature but large organization in India. The implementation process has been very successful because the model has been explored by an organizational development initiative. BPR is both feasible and worthwhile in business only when ideas and ideals are put willingly in practice; and is practised in a collaborative mode to get closer to the people, especially at the floor level, and to customers and suppliers.     

Adaptive/predictive scheduling: review and a general framework

Abstract

Abstract. Effective production scheduling can have a dramatic impact on manufacturing productivity. In modern automated manufacturing systems, the ability to revise and adjust the schedule can help reduce indirect costs which comprise a large portion of manufacturing costs in those systems. The objective of the research discussed here has been to study the feasibility of automatically scheduling multi-machine complexes and adjusting the schedule on a real-time basis by a unified computer system. We arc investigating selective real-time schedule adaptation by distinguishing between schedule generation and regeneration tasks (which might not be cost-effective) from schedule adaptation/recovery tasks (basically, causing less cosily disruption of the original plans). The article describes our general framework for automatic adaptive/predictive scheduling that includes five main functions: scheduler; monitor;comparator; resolvcr; recovery adaptor. Some experimental results demonstrating the effectiveness of the framework are discussed.     

Bottleneck identification and ranking model for mine operations

Abstract

Mining has a long history of production and operations management. Considering the increasing complexity of reserves, declining metal grades, and worldwide price volatilities, mines have to operate more efficiently than ever. In recent years, companies have been adopting innovative solutions and technologies to reduce costs and remain competitive in the global market. Specifically, management of bottlenecks has been in the focus of the manufacturing industry for decades now. The mining industry has made significant advancements in process improvement tools using equipment, human, and asset tracking capabilities. However, to date, there is no holistic approach or system to identify and manage the bottleneck in the entire value chain of mining. This research proposes a new method to identify and rank the bottlenecks in a mine value chain. The method is applied in a coal mine and the results are presented in the case study.     

Modelling and controlling product manufacturing systems using bond-graphs and state equations: Continuous systems and discrete systems which can be represented by continuous models

This paper presents an approach to the modelling and control phases involved in a cooperative process of design and management of the manufacturing systems. Modelling the evolution of the production flow, in the different sections of the system, is based upon the use of the bondgraph methodology in order to reach the state formalism which constitutes one of the modern representations of automation. The class of the systems studied ranges from continuous systems to discrete systems, which can be represented by a continuous approach according to the level of approximation required. The first part of this paper is dedicated to the development of generic models associated with the various basic entities of the manufacturing systems. Then, the bondgraph model of any system is obtained by assembling generic models in relation to the implementation of the means of the studied system, thus guaranteeing a representation which is quite close to the engineering sketches. Finally, switching to the state equation is performed systematically with the easiness provided by this formalism while taking into account the causality principle. An application, involving most of the elementary models developed, concludes the paper.     

A new MRP/GT lot sizing heuristic: A simulation study

This paper studies the lot-sizing problem in Material Requirements Planning/Group Technology (MRP/GT) systems. A GT production cell is designed to produce many families of components. A major setup is required when switching from manufacturing one family of components to another family, and a minor setup is needed when switching from manufacturing a component type to another component type within the same family. Inventory holding cost is incurred if inventory level is positive, and inventory shortage cost is incurred if inventory level is negative, that is, backordering. The objective of the proposed lot-sizing problem is to minimize the sum of major and minor setup costs, holding and shortage costs, and regular production cost, and to meet simultaneously the demand requirements. The proposed problem is modelled into a linear integer program, a heuristic method to solve the problem is proposed, and a simulation experiment conducted to evaluate the performance of the proposed heuristic and some existing heuristics. The computational results show that the proposed heuristic is useful to reduce the total cost significantly over a wide variety of simulated environments.     

Period batch control: Classic,not outdated

Period Batch Control was developed and first applied during the Second World War. The historic roots are discussed and the principles of this classic production planning approach explained, PBC compared to other production control concepts, and it is demonstrated that it may still be fruitfully applied, especially in combination with cellular manufacturing. It is therefore considered as a classic, but not outdated production planning concept.     

The myth of aggregate planning

Abstract

Abstract. An empirical study explores the business environment, the nature of manufacturing, and the planning cycle, using a sample of enterprises with seasonally-biased sales profiles for their products. This enables both the principles and the practicalities of aggregate planning to stand comparison with the observed rubric of manufacturing management. The conclusion is that neither is germane to industry, and that, in general, practitioners develop an effective (broad) manufacturing strategy with an appropriate resources-acquisition programme. The master production schedule then strikes an acceptable balance between productivity, flexibility, and financial risk.     

Quality management and performance: a comparison between the UK and Turkey

Purpose: The aim of this article is to detail the correlation between quality management, specifically its tools and critical success factors, and performance in terms of primary operational and secondary organisational performances.

Design/methodology/approach: Survey data from the UK and Turkey were analysed using exploratory factor analyses, structural equation modelling and regression analysis.

Findings: The results show that quality management has a significant and positive impact on both primary and secondary performances; that Turkish and UK attitudes to quality management are similar; and that quality management is widely practised in manufacturing and service industries but has more statistical emphasis in the manufacturing sector. The main challenge for making quality management practice more effective lies in an appropriate balanced use of the different sorts of the tools and critical success factors.

Originality/value: This study takes a novel approach by: (i) exploring the relationship between primary operational and secondary organisational performances, (ii) using service and manufacturing data and (iii) making a cross-country comparison between the UK (a developed economy) and Turkey (a developing economy).

Limitations: Detailed contrast provided between only two countries.     

The implementation of digital technologies for operations management: a case study for manufacturing apps

Abstract

Manufacturing applications address business to business (B2B) with highly customised applications developed for specific requirements, offering highly specialised solution-oriented and service-based software components, systems, and digital tools that aim at a fast and accurate decision-making support system. The purpose of this paper is to describe the implementation of digital technologies for operations management using manufacturing or engineering apps (eApps), for product design and manufacturing processes. In particular, starting from the specific needs of two companies from mature European industries as automotive and food, this work depicts how this kind of solutions can support companies and improve their operations. In particular, related benefits and challenges faced for the full implementation of the developed tools are highlighted. Moreover a business model to exploit the manufacturing apps is also proposed. The business model proposed for the exploitation of the eApps supports the commercialisation of all the revenue streams offered by this rapidly growing sector taking into account the specific needs of the concerned stakeholders through a diversified value proposition.