A reference model for extended enterprise

In today's highly competitive, volatile and increasingly global manufacturing environment, manufacturing companies are increasingly aware of the need for agility and effectiveness at the supply-chain level, rather than simply at company level. Business Process Re-engineering and the resulting emphasis on core competence has influenced a move towards de-centralisation, flatter organisation structures and increased use of "outsourcing". It has been said that it is now supply-chain versus supply-chain and that this poses both opportunity and threat for SMEs. While some work has been done in relation to developing the concept of integrated supply-chains, relatively little has been published with respect to the concept of "Extended Enterprise (EE)", the "highest' 'level of inter-enterprise integration. This thesis provides a thorough review of literature with respect to supply-chain integration and Extended Enterprise. Current practice is evaluated on the basis of the literature review and an analysis of a questionnaire and some Case Study companies. A detailed description of Extended Enterprise is provided and a conceptual reference model is developed, with the aim of providing a strategic planning tool, which will help organisations to identify the extent to which they operate as part of an EE. The model is intended also to help organisations in their evolution towards more effective operation within EE. One of the key characteristics/enablers of EE is stated as the existence of an organisational structure, which supports the effective identification, rationalisation and deployment of core competence within an EE. An approach based upon the concept of a "Process Breakdown Structure" is introduced and is evaluated in the context of a Case Study Company

The evaluation of lean manufacturing implementation and their impact to manufacturing performance

With more challenges in competition worldwide, manufacturing industry needs more active to provide high levels of performance and commitment. To win the competition through more customer satisfaction, manufacturing companies have to opted not only high skill human resources, latest technologies but also have the reliable and modern manufacturing optimization strategy. Lean manufacturing tools have been widely used by manufacturing companies to achieve these objectives. Many researchers have researched and explained the application of these different LM tools in industry that are mostly located in developed countries, very few have examined the application of these tools in developing countries (such as Indonesia). This paper aims to evaluate LM tools implementation and their impact on manufacturing performance in the Indonesian manufacturing companies. 50 questionnaires have been taken from 15 companies, only 32 were responded and only 30 items were suitable to be processed. Data processing was performed with Smart-PLS 3.0 program. All of 8 tools/indicators was found valid and reliable to represent LM tools and have a Positive and Moderate relationship with manufacturing performance (MP) with R2 = 40.6% means variability of MP 40.6% could be explained by 8 LM tools and the rest by others factors

A study of Total Productive Maintenance (TPM) and lean manufacturing tools and their impact on manufacturing performance

In Indonesia, companies that have correctly implement TPM and LM are still very limited. They also implement TPM without being integrated with LM. To look beyond their implementation and their impact to manufacturing performance, a research through survey method have been conducted. The 250 questionnaires have been sent to 125 manufacturing companies located in Jakarta, Bekasi, Tangerang, Bandung and Lampung. 105 have been returned but only 91 questionnaires suitable for further processing using Structural Equation Modelling (SEM) with Smart-PLS as a programming tool. Almost all of 8 Pillars of TPM were considered valid, reliable and significant to represent the TPM implementation in Indonesia. All of 8 LM tools were also considered valid, reliable and significant. TPM have a strong correlation with LM and a moderate correlation with MP. LM also has moderate correlation with MP. TPM pillars and LM tools together affect MP as much as 60.9% (R2 = 0.609). It also means that 60.9% variability of MP can be explained by TPM and LM while 39.1% can be explained by other

Internet of Things (IoT) in Agriculture Industries

The IoT applications in the agriculture industry are intertwined in many ways, creating a hybrid construct of traditional businesses with digital connectivity implementations. Strategic issues and principles on the assimilation of IoT solutions are prevail through time: investment costs, data interconnectivity, management and analysis, as well as data security. The agriculture industry is expected to be always alerted for the changes that may apply, with all the contemporary challenges and future directions responding to the situations, so it can reap the optimum use of the IoT connectivity

Heat generation performance of a homemade friction stir welding tool

Friction Stir Welding (FSW) is getting its popularity because it is considered as an environmentally friendly manufacturing. Homemade FSW tool to be attached to a conventional milling machine was designed and fabricated. Experimental investigation of FSW process of the Aluminum alloy work piece to observe its heat generation was performed. Since heat generation is the main objective in a FSW process, the importance of identification of heat generation performance in a welded specimen is paramount. Heat generation of a welded specimen during FSW was measured using infra red thermal camera. The limitation of the measurement is it only captured the heat generation at surrounding area and surface of the welded specimen. Therefore, the heat generation inside contact area could not be identified. To overcome this problem, a finite-element model of the FSW process was developed. A model consists of a solid model of half the welded specimen since the symmetrical behavior of the geometry and boundary condition was assumed. Heat transfer analysis of a solid body model of a work piece was computed. It was observed that FSW parameters which involved dominantly in the heat generation were spindle speed, feeding rate and normal force. The heat generation model of FSW process was validated with the one from the experimental investigation. Good agreement between the numerical and the experimental investigation result has been made

Integrated engineering project management Approach for typical small to medium manufacturing companies

The aim of this paper is to identify the problem extents and successfully applying project management in SMEs with a focus on manufacturing industries. The organization of the study was mainly divided into the activity of literature study and the investigation through a survey conduct aimed to measure the awareness and implementation of project management at the selected SMEs in Malaysia. The questionnaire was designed with a section (Section A) involving project management in general and another section (Section B) involving the implementation of it. It was found that the level of awareness and implementation of project management especially in the selected small and medium manufacturing companies in Malaysia was quite satisfying. Most of the manufacturing companies were implementing project management, but the level was depending on the organization in the company itself

Internet of Things (IoT) in agriculture industries

The IoT applications in the agriculture industry are intertwined in many ways, creating a hybrid construct of traditional businesses with digital connectivity implementations. Strategic issues and principles on the assimilation of IoT solutions are prevail through time: investment costs, data interconnectivity, management and analysis, as well as data security. The agriculture industry is expected to be always alerted for the changes that may apply, with all the contemporary challenges and future directions responding to the situations, so it can reap the optimum use of the IoT connectivity