Every parent in giving toys to their children must have their criteria, both in terms of safety, unique toy design and durability of the toy product. Therefore, toy companies must be able to develop quality improvement. Toy is considered as a tertiary need for humans, yet its development of innovation is no less important compared to primary and secondary needs, especially rocking horse toy. Its shape and way of playing make it as one of the prominent toy for children and one of the most famous traditional toy. The emergence of modern toy has left the traditional toy in gradual decline and thus worrying its manufacturers. Subsequently, the manufacturers of traditional toy have managed to combine the rocking horse and folding chair so that the folding chair, when the two of its sides being folded, may form a rocking horse. Furthermore, to determine the parameter of design innovation, the Kansei engineering approach has been chosen and using the emotions and needs of the costumers as the basis. Kansei is able to show children's emotions in choosing and playing toys, then applied to the designThere are five Kansei words appeared: secure, interesting, pleasant, dependable, and user friendly. These Kansei words are used as the parameter of design innovation. The value of Z>0.05 on validity test is applicable to all the five words mentioned earlier. This new design is expected to increase the passion of rocking horse toy manufacturers to compete with modern toy companies. Then there is no doubt the design for the toy is also important.
Abstract. Warehouse performance management has an important role in improving logistic's business activities. Good warehouse management could increase profit, time delivery, quality and customer service. This study is conducted to assess performance of retail warehouses in some supermarket located in Central Java and Yogyakarta. Performance improvement is proposed base on the warehouse measurement using Frazelle model (2002), that measure on five indicators, namely Financial, Productivity, Utility, Quality and Cycle time along five business process in warehousing, i.e. Receiving, Put Away, Storage, Order picking and shipping. In order to obtain more precise performance, the indicators are weighted using Analytic Hierarchy Analysis (AHP) method. Then, warehouse performance are measured and final score is determined using SNORM method. From this study, it is found the final score of each warehouse and opportunity to improve warehouse performance using peer group benchmarking
Warehouse has an important role in supply chain management and has many complex activities that require special attention. This study aims to improve warehouse efficiency performance. Data Envelopment Analysis (DEA) method is employed to obtain the level of efficiency and benchmarking on five indicators, namely financial, productivity, utilization, quality, and cycle time along with five business processes in warehousing, i.e. receiving, put away, storage, order picking, and shipping. The decision making unit is a warehouse in four retailers in Yogyakarta province, in Indonesia. The input and output variables are selected based on the highest priority weight using the Analytical Hierarchy Process (AHP). The most important variable for receiving is productivity (receipt per man-hour), variable for put away is cycle time (put away cycle time), variable for storage is utilization (% location and cube occupied), variable for order picking is cycle time (order picking cycle time) and variable for shipping is productivity (order prepared for shipment per man-hour). The research results show that the benchmarking model with DEA can be used to increase warehouse efficiency performance by up to 22% by increasing receiving and shipping productivity, increasing storage utilization and reducing cycle time at put away and order picking.
PT. XYZ is a company engaged in wood processing. The product produced is plywood according to customer demand. After observing the production floor, several problems were found, namely that there was unused equipment in the work area. This equipment is equipment that is damaged or is not used. Besides, the cleanliness of the production floor is also poorly maintained where there is still dirt and dust. This study aims to identify problems related to waste on the production floor and design and propose the 5S method to create an effective work environment. The method used in this study uses the 5S concept approach (Seiri, Seiton, Seiso, Seiketsu, Shitsuke). 5S assessment is carried out using the audit checklist and evaluation checklist. The audit checklist and evaluation checklist are filled out by an auditor who knows clearly how the actual conditions on the production floor are. Data were collected in five work areas, namely rotary, press dryer, repair, assembling, and packing. The results of this study can be concluded that 1) problems on the production floor of PT XYZ include: there is no written procedure for elimination, there is no label on the work area, there is no regular cleaning, employees do not understand 5s, there are no procedures and 5s standards, there is no audit regarding 5s, there is no visual management system and standard procedures regarding 5s, lots of garbage scattered, dirty work surfaces and difficult to clean, everyone is not involved in 5s activities; 2) The results of the 5S assessment before improvement were 37.78% in the bad category. After planning the implementation of the improvement, the score rose to 80% in the good category
Capacity planning in a company's production process needs to be considered so that the products produced meet consumer demand. PT X, is a manufacturing company that focuses on tire production. One type of large-sized tire product that has the highest demand is the ABC type with a sTabel production amount per month and demand that goes up every year. In terms of fulfilling customer demand, especially requests for large tires with type ABC, PT X often has difficulty in meeting consumer demand, this happens because the capacity of the machine is not available. Therefore, the existing production capacity must be evaluated to find out whether the available capacity is sufficient with the required capacity. To analyze this problem, the Rough Cut Capacity Planning (RCCP) method, this method is to analyze and test the determination of capacity in the master production schedule. Calculation of available capacity and capacity required in a year is carried out for the process carried out, namely: Building, Spreading and venting, curing, and Trimming. For the building and trimming process, it is found that the decision of the acupacity is fulfilled, while the Spreading and venting process is required to add 1 machine, and the curing process is required to add the machine according to the number of requests per month. From these results it can be given a proposal that needs to be considered in meeting the capacity to meet consumer needs while still paying attention to production costs.
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