Abstract:This study illustrates the application of lean management and Radio Frequency Identification (RFID) technology to improve the logistics efficiency in a distribution center. The distribution center stores more than ten million parts belonging to about ten thousand types. There are more than ten thousand storage and retrieval operations for hundreds of part types on a daily basis. Value stream mapping was used to draw current state mapping with material flow, information flow, and time flow. Based on the concept… Show more
“…To increase efficiency in part production process, applications of the RFID systems in the lean manufacturing is developed by Chen et al (2011). To decrease the waste materials in part manufacturing systems, an advanced RFID for leaner manufacturing is investigated by Brintrup et al (2010).…”
Radio frequency identification (RFID) is one of the most promising technological innovations in order to track and trace products as well as material flow in manufacturing systems. High Frequency (HF) and Ultra High Frequency (UHF) RFID systems can track a wide range of products in the part production process via radio waves with level of accuracy and reliability. As a result, quality and transparency of data across the supply chain can be accurately obtained in order to decrease time and cost of part production. Also, process planning and part production scheduling can be modified using the advanced RFID systems in part manufacturing process. Moreover, to decrease the cost of produced parts, material handling systems in the advanced assembly lines can be analyzed and developed by using the RFID. Smart storage systems can increase efficiency in part production systems by providing accurate information from the stored raw materials and products for the production planning systems. To increase efficiency of energy consumption in production processes, energy management systems can be developed by using the RFID-sensor networks. Therefore, smart factories and intelligent manufacturing systems as industry 4.0 can be introduced by using the developed RFID systems in order to provide new generation of part production systems. In this paper, a review of RFID based wireless manufacturing systems is presented and future research works are also suggested. It has been observed that the research filed can be moved forward by reviewing and analyzing recent achievements in the published papers.
“…To increase efficiency in part production process, applications of the RFID systems in the lean manufacturing is developed by Chen et al (2011). To decrease the waste materials in part manufacturing systems, an advanced RFID for leaner manufacturing is investigated by Brintrup et al (2010).…”
Radio frequency identification (RFID) is one of the most promising technological innovations in order to track and trace products as well as material flow in manufacturing systems. High Frequency (HF) and Ultra High Frequency (UHF) RFID systems can track a wide range of products in the part production process via radio waves with level of accuracy and reliability. As a result, quality and transparency of data across the supply chain can be accurately obtained in order to decrease time and cost of part production. Also, process planning and part production scheduling can be modified using the advanced RFID systems in part manufacturing process. Moreover, to decrease the cost of produced parts, material handling systems in the advanced assembly lines can be analyzed and developed by using the RFID. Smart storage systems can increase efficiency in part production systems by providing accurate information from the stored raw materials and products for the production planning systems. To increase efficiency of energy consumption in production processes, energy management systems can be developed by using the RFID-sensor networks. Therefore, smart factories and intelligent manufacturing systems as industry 4.0 can be introduced by using the developed RFID systems in order to provide new generation of part production systems. In this paper, a review of RFID based wireless manufacturing systems is presented and future research works are also suggested. It has been observed that the research filed can be moved forward by reviewing and analyzing recent achievements in the published papers.
“…While existing studies on lean warehousing have utilized VSM to study a specific type of waste (Chen et al, 2011;Garcia et al, 2004;Garza, et al, 2011), this study extends it to include all types of warehousing wastes and classifies them into seven types (Hines et al, 1999). The article provides a case study along with evidence for improvement schemes for each category of waste before measuring their individual contribution towards the overall effectiveness of Key Performance Indicators that were suggested in earlier studies in the context of warehousing and manufacturing, lead time (Garcia et al, 2004;Lee et al, 2017).…”
This article applies value stream mapping (VSM) in a distribution warehouse after identifying and categorizing different warehousing wastes. The study suggests solutions for the reduction of each type of waste and employs lead time as the metric to understand the overall effectiveness of the suggested remedies. The distribution warehouse faced severe stock-out situations and high lead time for all deliveries. Current state and future state maps were utilized for mapping the current and revamped system, respectively. While existing studies on lean warehousing have utilized VSM to study a specific type of waste, this study extends it to include all types of warehousing waste, classifies them into seven types and provides a real case study along with evidence for improvement schemes for each category. This research, employing a case study, suggests an integrated lean warehousing method for design and operation of distribution warehouses. Dilemma/research question/purpose: Can the warehouse avoid stock-outs and decrease the lead time by identifying and reducing or eliminating the seven types of wastes in the warehouse operations? Theory: Lean management principle applied to a warehouse using value stream mapping to eliminate wastes. Type of the case: A problem-solving using lean tools carried out in a warehouse. Protagonist: Not needed. Options: Allow the current state to continue causing stock-outs and high lead times, or identify and reduce the wastes in the warehouse operations and avoid stock-outs, decrease lead times, and improve the overall efficiency of the warehouse. Discussions and case questions: Is it possible for the firm to go one step further than what the future state map has shown in the study? What other lean tools do you see fit to reduce or eliminate the types of waste outlined in this article?
“…The reduction of material handling consequently leads to lower labor cost and higher productivity. Value Stream Mapping (VSM) was used to analyze the improvement between As-Is model using barcode and To-Be model using RFID for a warehouse in Taiwan [1]. A saving of cycle time and process time by 24% and 22% was observed, respectively.…”
This study presented the application of Radio Frequency Identification (RFID) technology to improve the efficiency and effectiveness of warehouse management. Fixed RFID readers and antenna were installed at the receiving/shipping dock and passive tags were mounted on either storage box or pallet. RFID system can quickly and simultaneously read multiply tags, compared to the sequential reading of barcodes by handy barcode scanner in manual operations due to the inconsistency in box sizes and the locations of barcode for items of various types. Significant improvements were observed in preliminary experiments. The numbers of pallets and items processed by each operator per day were increased by 425% and 438%, respectively. The data processing time at receiving and shipping docks was reduced by more than 90%. With RFID technology, the number of operators can be reduced while maintaining current service capacity at the studied warehouse. The benefit using RFID in the warehouse management is analyzed and promoted.
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