934 resultados para H. H. Franklin Manufacturing Company
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Mode of access: Internet.
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This paper reports on a new study conducted within a leading UK based (and US owned) car manufacturing company looking at the satisfaction between parties within a newly formed third party logistics (3PL) relationship. The study contains a two-way assessment of the relationship (i.e. the vehicle manufacturer’s Parts Supply and Logistics Operation’s assessment of the 3PL’s service and the 3PL’s assessment of the vehicle manufacturer’s relationship management ability). The study principally used an online SERVQUAL survey, (backed up with an on-line questionnaire, and face to face interviews) for data collection. The paper discusses the background and problems that have arisen in the relationship, the analysis of how each of the parties sees one other in terms of the service provided. Also, the findings and recommendations presented to management are outlined: these include factors such as the need for information sharing, reliability, flexibility, role specificity, trust and effective requirements management.
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Purpose – This paper sets out to study a production-planning problem for printed circuit board (PCB) assembly. A PCB assembly company may have a number of assembly lines for production of several product types in large volume. Design/methodology/approach – Pure integer linear programming models are formulated for assigning the product types to assembly lines, which is the line assignment problem, with the objective of minimizing the total production cost. In this approach, unrealistic assignment, which was suffered by previous researchers, is avoided by incorporating several constraints into the model. In this paper, a genetic algorithm is developed to solve the line assignment problem. Findings – The procedure of the genetic algorithm to the problem and a numerical example for illustrating the models are provided. It is also proved that the algorithm is effective and efficient in dealing with the problem. Originality/value – This paper studies the line assignment problem arising in a PCB manufacturing company in which the production volume is high.
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This project is targeted towards establishing the durability and mechanisms of wear involved in the use of 5.25 inch magnetic floppy diskettes with particular reference to the media manufactured by the Minnesota Mining and Manufacturing Company, 3M Center, St. Paul, Minnesota, USA. In the present work most stress has been laid on the presentation of the conclusions drawn from the results obtained using samples produced specifically for this project. These samples were produced on the pilot plant at 3MTM, St. Paul, USA and are identified by the code 58759-4 with sample numbers SR1 to SR4 each with different lubrication conditions. All of the categories have been produced with four different surface roughnesses by varying the degree of burnishing. It has been found that the mechanisms of wear are related to a fatigue process. Some surprises have been noted in respect of the value of burnishing compared to the observations made elsewhere. Good reasons for these observed differences have been noted, however, and it will be shown that these are merely superficial and not concerned with wear of any real type. The present work reports the effects of the changes in the media's lubrication status and its surface topography as well as presenting evidence for the suggested wear mechanisms.
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In recent years, UK industry has seen an explosive growth in the number of `Computer Aided Production Management' (CAPM) system installations. Of the many CAPM systems, materials requirement planning/manufacturing resource planning (MRP/MRPII) is the most widely implemented. Despite the huge investments in MRP systems, over 80 percent are said to have failed within 3 to 5 years of installation. Many people now assume that Just-In-Time (JIT) is the best manufacturing technique. However, those who have implemented JIT have found that it also has many problems. The author argues that the success of a manufacturing company will not be due to a system which complies with a single technique; but due to the integration of many techniques and the ability to make them complement each other in a specific manufacturing environment. This dissertation examines the potential for integrating MRP with JIT and Two-Bin systems to reduce operational costs involved in managing bought-out inventory. Within this framework it shows that controlling MRP is essential to facilitate the integrating process. The behaviour of MRP systems is dependent on the complex interactions between the numerous control parameters used. Methodologies/models are developed to set these parameters. The models are based on the Pareto principle. The idea is to use business targets to set a coherent set of parameters, which not only enables those business targets to be realised, but also facilitates JIT implementation. It illustrates this approach in the context of an actual manufacturing plant - IBM Havant. (IBM Havant is a high volume electronics assembly plant with the majority of the materials bought-out). The parameter setting models are applicable to control bought-out items in a wide range of industries and are not dependent on specific MRP software. The models have produced successful results in several companies and are now being developed as commercial products.
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The research described in this thesis investigates three issues related to the use of expert systems for decision making in organizations. These are the effectiveness of ESs when used in different roles, to replace a human decision maker or to advise a human decision maker, the users' behaviourand opinions towards using an expertadvisory system and, the possibility of organization-wide deployment of expert systems and the role of an ES in different organizational levels. The research was based on the development of expert systems within a business game environment, a simulation of a manufacturing company. This was chosen to give more control over the `experiments' than would be possible in a real organization. An expert system (EXGAME) was developed based on a structure derived from Anthony's three levels of decision making to manage the simulated company in the business game itself with little user intervention. On the basis of EXGAME, an expert advisory system (ADGAME) was built to help game players to make better decisions in managing the game company. EXGAME and ADGAME are thus two expert systems in the same domain performing different roles; it was found that ADGAME had, in places, to be different from EXGAME, not simply an extension of it. EXGAME was tested several times against human rivals and was evaluated by measuring its performance. ADGAME was also tested by different users and was assessed by measuring the users' performance and analysing their opinions towards it as a helpful decision making aid. The results showed that an expert system was able to replace a human at the operational level, but had difficulty at the strategic level. It also showed the success of the organization-wide deployment of expert systems in this simulated company.
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Spare parts warehousing decision-making plays an important role in today's manufacturing industry as it derives an optimum inventory policy for the organizations. Previous research on spare parts warehousing decision-making did not deal with the problem holistically considering all the subjective and objective criteria of operational and strategic needs of the manufacturing companies in the process industry. This study reviews current relevant literature and develops a conceptual framework (an integrated group decision support system) for selecting the most effective warehousing option for the process industry using the analytic hierarchy process (AHP). The framework has been applied to a multinational cement manufacturing company in the UK. Three site visits, eight formal interviews, and several discussions have been undertaken with personnel of the organization, many of which have more than 20 years of experience, in order to apply the proposed decision support system (DSS). Subsequently, the DSS has been validated through a questionnaire survey in order to establish its usefulness, effectiveness for warehousing decision-making, and the possibility of adoption. The proposed DSS is an integrated framework for selecting the best warehousing option for business excellence in any manufacturing organization.
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Purpose: The purpose of this paper is to investigate enterprise resource planning (ERP) systems development and emerging practices in the management of enterprises (i.e. parts of companies working with parts of other companies to deliver a complex product and/or service) and identify any apparent correlations. Suitable a priori contingency frameworks are then used and extended to explain apparent correlations. Discussion is given to provide guidance for researchers and practitioners to deliver better strategic, structural and operational competitive advantage through this approach; coined here as the "enterprization of operations". Design/methodology/approach: Theoretical induction uses a new empirical longitudinal case study from Zoomlion (a Chinese manufacturing company) built using an adapted form of template analysis to produce a new contingency framework. Findings: Three main types of enterprises and the three main types of ERP systems are defined and correlations between them are explained. Two relevant a priori frameworks are used to induct a new contingency model to support the enterprization of operations; known as the dynamic enterprise reference grid for ERP (DERG-ERP). Research limitations/implications: The findings are based on one longitudinal case study. Further case studies are currently being conducted in the UK and China. Practical implications: The new contingency model, the DERG-ERP, serves as a guide for ERP vendors, information systems management and operations managers hoping to grow and sustain their competitive advantage with respect to effective enterprise strategy, enterprise structure and ERP systems. Originality/value: This research explains how ERP systems and the effective management of enterprises should develop in order to sustain competitive advantage with respect to enterprise strategy, enterprise structure and ERP systems use. © Emerald Group Publishing Limited.
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The design of reverse logistics networks has now emerged as a major issue for manufacturers, not only in developed countries where legislation and societal pressures are strong, but also in developing countries where the adoption of reverse logistics practices may offer a competitive advantage. This paper presents a new model for partner selection for reverse logistic centres in green supply chains. The model offers three advantages. Firstly, it enables economic, environment, and social factors to be considered simultaneously. Secondly, by integrating fuzzy set theory and artificial immune optimization technology, it enables both quantitative and qualitative criteria to be considered simultaneously throughout the whole decision-making process. Thirdly, it extends the flat criteria structure for partner selection evaluation for reverse logistics centres to the more suitable hierarchy structure. The applicability of the model is demonstrated by means of an empirical application based on data from a Chinese electronic equipment and instruments manufacturing company.
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Este relatório contempla um perÃodo de estágio de 8 meses numa empresa transformadora de bacalhau, com o objetivo de melhorar a sua competitividade. A análise revelou um planeamento informal à base da experiência, com custos associados – stocks excessivos ou escassos, falta de planeamento médio/longo prazo, tempos de espera, entre outros, provocando desperdÃcios a minimizar ou mesmo corrigir e um conjunto de problemas no processo produtivo que foram devidamente identificados. As propostas de solução contemplaram uma análise estratégica com o modelo de Porter e uma análise SWOT. Relativamente aos desperdÃcios identificados, utilizou-se a filosofia Lean, concretamente os 5S, para sugerir e implementar um vasto conjunto de melhorias.
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Tutkittu yritys on suomalainen maaleja ja lakkoja kansainvälisesti valmistava ja myyvä toimija. Yrityksessä otettiin vuonna 2010 käyttöön uudet tuotannon ja toimitusketjun tavoitteet ja suunnitelmat ja tämä tutkimus on osa tuota kokonaisvaltaista kehittämissuuntaa. Tutkimuksessa käsitellään tuotannon ja kunnossapidon tehokkuuden parantamis- ja mittaustyökalu OEE:tä ja tuotevaihtoaikojen pienentämiseen tarkoitettua SMED -työkalua. Työn teoriaosuus perustuu lähinnä akateemisiin julkaisuihin, mutta myös haastatteluihin, kirjoihin, internet sivuihin ja yhteen vuosikertomukseen. Empiriaosuudessa OEE:n käyttöönoton ongelmia ja onnistumista tutkittiin toistettavalla käyttäjäkyselyllä. OEE:n potentiaalia ja käyttöönottoa tutkittiin myös tarkastelemalla tuotanto- ja käytettävyysdataa, jota oli kerätty tuotantolinjalta. SMED:iä tutkittiin siihen perustuvan tietokoneohjelman avulla. SMED:iä tutkittiin teoreettisella tasolla, eikä sitä implementoitu vielä käytäntöön. Tutkimustuloksien mukaan OEE ja SMED sopivat hyvin esimerkkiyritykselle ja niissä on paljon potentiaalia. OEE ei ainoastaan paljasta käytettävyyshäviöiden määrää, mutta myös niiden rakenteen. OEE -tulosten avulla yritys voi suunnata rajalliset tuotannon ja kunnossapidon parantamisen resurssit oikeisiin paikkoihin. Työssä käsiteltävä tuotantolinja ei tuottanut mitään 56 % kaikesta suunnitellusta tuotantoajasta huhtikuussa 2016. Linjan pysähdyksistä ajallisesti 44 % johtui vaihto-, aloitus- tai lopetustöistä. Tuloksista voidaan päätellä, että käytettävyyshäviöt ovat vakava ongelma yrityksen tuotannontehokkuudessa ja vaihtotöiden vähentäminen on tärkeä kehityskohde. Vaihtoaikaa voitaisiin vähentää ~15 % yksinkertaisilla ja halvoilla SMED:illä löydetyillä muutoksilla työjärjestyksessä ja työkaluissa. Parannus olisi vielä suurempi kattavimmilla muutoksilla. SMED:in suurin potentiaali ei välttämättä ole vaihtoaikojen lyhentämisessä vaan niiden standardisoinnissa.
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Part 4: Transition Towards Product-Service Systems
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La conscience de l’environnement d’affaires est définie comme l’ensemble des savoirs détenus par les employés non-cadres par rapport à l’environnement d’affaires interne et externe de leur organisation. Elle se manifeste lorsque l’employé est impliqué dans la prise de décision ou résolution de problème affectant l’entreprise. Ce travail a comme objectifs la validation d’une échelle de mesure du concept à l’étude, ainsi que la vérification de sa validité de construit et nomologique. L’ensemble initial d’items de l’échelle de mesure a été déterminé suite à des entrevues avec les employés d’organisations participantes (Gauvreau-Jean, 2008). L’ensemble initial de 40 items a été testé avec un échantillon de 508 employés d’une manufacture. Suite à des ajustements, l’échelle modifiée couvre quatre dimensions du construit. L’adéquation de son contenu a ensuite été mise à l’épreuve par deux groupes cibles et deux évaluations expertes (Lessard, 2014). Finalement, dans le cadre de notre étude, la validité du contenu et nomologique de l’échelle modifiée (contenant 24 items) a été testée avec 330 employés de première ligne de quatre entreprises. Les quatre dimensions du construit furent supportées, la fiabilité de l’échelle était haute, puis les hypothèses reliant la conscience de l’environnement avec les caractéristiques au travail, l’évaluation de la performance par un superviseur et l’engagement affectif furent supportées également. Un autre sondage complété par les gestionnaires (n=43) avait comme but une évaluation de la performance contextuelle des employés supervisés. Le développement de l’échelle à 24 items sur la conscience de l’environnement d’affaires pourrait répondre aux questions portant sur la participation de l’employé et l’efficacité organisationnelle.
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La conscience de l’environnement d’affaires est définie comme l’ensemble des savoirs détenus par les employés non-cadres par rapport à l’environnement d’affaires interne et externe de leur organisation. Elle se manifeste lorsque l’employé est impliqué dans la prise de décision ou résolution de problème affectant l’entreprise. Ce travail a comme objectifs la validation d’une échelle de mesure du concept à l’étude, ainsi que la vérification de sa validité de construit et nomologique. L’ensemble initial d’items de l’échelle de mesure a été déterminé suite à des entrevues avec les employés d’organisations participantes (Gauvreau-Jean, 2008). L’ensemble initial de 40 items a été testé avec un échantillon de 508 employés d’une manufacture. Suite à des ajustements, l’échelle modifiée couvre quatre dimensions du construit. L’adéquation de son contenu a ensuite été mise à l’épreuve par deux groupes cibles et deux évaluations expertes (Lessard, 2014). Finalement, dans le cadre de notre étude, la validité du contenu et nomologique de l’échelle modifiée (contenant 24 items) a été testée avec 330 employés de première ligne de quatre entreprises. Les quatre dimensions du construit furent supportées, la fiabilité de l’échelle était haute, puis les hypothèses reliant la conscience de l’environnement avec les caractéristiques au travail, l’évaluation de la performance par un superviseur et l’engagement affectif furent supportées également. Un autre sondage complété par les gestionnaires (n=43) avait comme but une évaluation de la performance contextuelle des employés supervisés. Le développement de l’échelle à 24 items sur la conscience de l’environnement d’affaires pourrait répondre aux questions portant sur la participation de l’employé et l’efficacité organisationnelle.
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The use of Cyber Physical Systems (CPS) to optimise industrial energy systems is an approach which has the potential to positively impact on manufacturing sector energy efficiency. The need to obtain data to facilitate the implementation of a CPS in an industrial energy system is however a complex task which is often implemented in a non-standardised way. The use of the 5C CPS architecture has the potential to standardise this approach. This paper describes a case study where data from a Combined Heat and Power (CHP) system located in a large manufacturing company was fused with grid electricity and gas models as well as a maintenance cost model using the 5C architecture with a view to making effective decisions on its cost efficient operation. A control change implemented based on the cognitive analysis enabled via the 5C architecture implementation has resulted in energy cost savings of over €7400 over a four-month period, with energy cost savings of over €150,000 projected once the 5C architecture is extended into the production environment.