Development of a Method for Visualization and Evaluation of Production Logistics in a Multi-variant Production

Bauer, Wilhelm; Ganschar, O.; Gerlach, Stefan

doi:10.1016/j.procir.2014.02.027

Cited by 9 publications

(3 citation statements)

References 3 publications

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“…In this context, a quality assurance procedure to increase the efficiency of complex production systems has been developed by Dietrich (2007). Bauer et al (2014) evaluate logistic processes in a multi-variant production environment. In Schuh et al (2011), the authors present a multi-level simulation model to assess and to control value stream data in supply chains.…”

Section: Analysis and Optimization Of Complex Production Systems And Supply Chain Networkmentioning

confidence: 99%

Cross-enterprise value stream assessment

Oberhausen

Plapper

2017

JAMR

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Purpose In most cases, the conventional assessment of value streams is based on key performance indicators (KPIs) like the share of added value, the degree of flow or a comprehensive lead time analysis. To evaluate cross-enterprise value streams of manufacturing, business or service processes in detail, a holistic methodology is needed. The paper aims to discuss this issue. Design/methodology/approach In this research paper, the assessment of value streams within complex cross-company networks is described. After a presentation of relevant KPIs in the fields of value stream management (VSM) and supply chain management (SCM), an approach for a cross-enterprise evaluation of value streams on different levels of detail is shown. In addition, the use of an absolute VSM evaluation, in contrast to a relative VSM assessment, is examined. Findings Based on a uniform and well-balanced set of KPIs and other VSM and SCM parameters, a performance assessment on different levels of value stream detail is enabled. Further investigations reveal the advantages of a relative compared with an absolute VSM assessment. Research limitations/implications In addition to a comprehensive overview of existing KPIs for a value stream assessment beyond company borders, a holistic and multi-level VSM approach is presented in this paper. In contrast to existing VSM approaches, the described method allows an evaluation and subsequent improvement of value streams within supply chain networks. Up to now, the presented approach for the assessment of cross-enterprise value streams has only been tested in specific industrial environments. In future, the proposed methodology shall also be validated for other process types like business, service or further manufacturing processes. Practical implications The described cross-company performance measurement approach shows a high practical relevance for organizations operating in supply chain networks. Due to the integrated use of different VSM parameters, the evaluation of highly interconnected value streams across corporate boundaries is facilitated. By means of a case study, the proposed methodology is validated under real industry conditions and proves its practical applicability. Originality/value One of the novel features of this research is the extension of the traditional VSM method with respect to a relative evaluation of value streams based on a set of significant KPIs. In addition, the allocation of these KPIs to different value stream layers and categories leads to an innovative approach for a multi-level assessment according to the needs of the specific VSM application, e.g. a more standardized use of VSM in complex supply chain networks.

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Section: Analysis and Optimization Of Complex Production Systems And Supply Chain Networkmentioning

confidence: 99%

Cross-enterprise value stream assessment

Oberhausen

Plapper

2017

JAMR

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“…The consequences find themselves within an increasing complexity and diminished transparency of logistics systems in the product supply. Nevertheless, logistics cache significant rationalization capabilities within or across companies (Bauer et al 2014). The human factor: man -the decision-making authority, also plays important role in the supplier choice process.…”

Section: Manager Of Logisticsmentioning

confidence: 99%

Business Logistics Processes in the Global Context

Ceniga

Šukalová

2017

Proceedings of 5th International Scientific Conference Contemporary Issues in Business, Management and Education ‘2017

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Abstract. Many organizations feel currently threatened by globalization. Grows uncertainty and market behaviour and there are some problems with effective use of resources; it came to the real competition. The current trend in the development of logistics says that wins only the fastest, cheapest and most efficient in terms of logistics productivity. Management structure of logistics processes is important for planning and management elements of the supply chain, because it is a systematic follow-up on the strategy of the company and its involvement in the supply chain; the masses are also linked to the competitiveness of enterprises. Equally important is the principle of modern management, knowledge and innovation. Under improving of the organization of logistics processes we can understand the necessity to improve the strategy, flexibility parameter setting while maintaining economic benefits and improvement of management, lifelong learning and innovation. Business environment requires new structural form as the supply chain to the path towards the ideal of perfect quality, reducing complexity, increasing speed and building strong competencies enabling swift reaction to changes in the environment. It also calls for a new style of management, based on the application of ethical principles and morals. On top of this effort is the customer, current and also potential. Worldwide leading industrial companies use in management logistical principles that offer a suitable alternative.

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“…Automated techniques have been implemented, ensuring real-time travel routes, monitoring and traceability of the products thereof [10]. But that does not necessarily offer the optimal response when you need to establish mechanisms for reasoning about the problems that arise in the administration of warehouses, as distribution of resources according to the needs of movement, time and product characteristics [11] and [12].…”

Section: Point Of Viewmentioning

confidence: 99%

Marco de desarrollo algorítmico de inteligencia de enjambres aplicada en almacenes

Pinzón¹,

Espitia²,

Prieto³

2015

Vis. Electron.

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La inteligencia de enjambres biológicos ha tenido un alto desarrollo en diferentes campos de la ingeniería aplicada, como es el caso de la robótica colaborativa en donde, a través de la bioinspiración, se desarrollan algoritmos que buscan imitar los comportamientos emergentes que suceden en la naturaleza cuando interactúan los integrantes de un enjambre de manera local, generando una inteligencia para resolver una problemática de manera auto organizada. Dentro de las aplicaciones en campos de la ingeniera está el desarrollo de procesos automatizados en ambientes de toda la cadena productiva de las empresas. Es por ello que este articulo busca dar un marco de referencia en la automatización de almacenes de picking, aplicando algoritmos de inteligencia artificial, específicamente la técnica de inteligencia de enjambres, que posibilite el uso de agentes que interactúen de forma colaborativa (cero colisiones, manipulación de objetos, entre otras) y competitiva (menor gasto de energía para el desarrollo de actividades), bajo un esquema de comunicación ambiente – agente, agente.

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Development of a Method for Visualization and Evaluation of Production Logistics in a Multi-variant Production

Cited by 9 publications

References 3 publications

Cross-enterprise value stream assessment

Cross-enterprise value stream assessment

Business Logistics Processes in the Global Context

Marco de desarrollo algorítmico de inteligencia de enjambres aplicada en almacenes

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