Cellular Shop Research Articles

Sistem e-Commerce Penjualan Handphone Baru dan Second Pada Sinar Cell Selong Lombok Timur

E-commerce is a process of trade transactions between sellers and buyers by utilizing internet media online to save operational costs such as paper, ink, and catalog printing. Sinar Cell is a cellular shop that is engaged in selling cellular devices in the form of new and used cellphones that have many customers spread across the West Nusa Tenggara region. Currently, the sales procedure at Sinar Cell stores is still conventional, where customers come directly to the store or make transactions by telephone because they do not have online marketing media. Based on this, a sales e-commerce application is needed which is developed using the SDLC (System Development Lifecycle) method using PHP programming and My SQL database. This application can help companies promote their products and make it easier to manage sales. In addition, it can help customers to get product-related information quickly and can place orders directly without space and time limits.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN TOKO HANDPHONE TERBAIK DI KOTA PADANGSIDIMPUAN MENGGUNAKAN METODE ORESTE

This research will discuss about the selection of the best mobile shops in the city of Padangsidimpuan. This research was conducted to find out the best mobile shop in the city of Padangsidimpuangiven to consumers through a Questionnaire. This study uses a Decision Support System with the Oreste method. The Oreste Method is one of the Decision Support System methods supported by Besson Ranking, which is the priority scale of each criterion indicator. The data used as an alternative is the data of cellphone shops in Padangsidimpuanwith a sample of 5 stores with 5 criteria, namely Price, Quality on Cellphones, Services, Consumer Attraction and Store Locations. The mount phase that is carried out in selecting a cell phone shop starts with analyzing the system that is done at the cellphone shop, then from the results of the analysis carried out weighting criteria at the cellphone shop, then carried out alternative weighting at the cell phone shop. After that the process of ranking the weight of alternative handphone shops is carried out. Based on alternative data and criteria using the Oreste method, it can be concluded that the best mobile shop is the Happy Cellular Shop with a Preference Value of Distance Score Value of 5.3556. Smaller than the other 4 stores.

Impact of worker and shop flexibility on assembly cells

Flexibility can counter the negative effects of the loss of pooling synergy in cellular systems. In this study we define flexibility as the ability of assembly cells to reallocate resources to accommodate changes in family assignments (i.e. shop flexibility) and the ability of workers to move between cells (i.e. worker flexibility). We investigate the impact of shop and worker flexibility on different assembly cells faced with product mix variability over a wide range of experimental conditions. Three types of cellular shops are considered: strict cell shops (where each cell is dedicated to producing only one product family), flexible cell shops (where each cell can produce multiple product families), and hybrid cell shops (where some of the cells are strict and the rest are flexible). Results indicate that there is no cell shop that outperforms others, under all experimental environments. However, flexible cell shops showed significant advantages when the setup times were low, while hybrid cell shops provided an excellent alternative when setup times and the product mix unbalance were at ‘moderate to high’ levels. The strict cell shops demonstrated excellent performance when setup times were high, and the product mix unbalance was ‘minor’. Finally, the results suggest that in most cases, the implementation of only worker flexibility resulted in the majority of improvements with respect to the average percentage of jobs tardy.

Learning and labour assignment in a dual resource constrained cellular shop

Recent studies have shown that in a cellular shop that benefits from learning due to repetitive processing, limitations attributable to routing flexibility can be more than offset. Moreover, the shop can respond more quickly to changes in demand than a job shop. This study examines the impact of labour assignments in a dual constrained cellular shop in which processing times decrease with operator task repetition. Results indicate that in the presence of operator learning, shop performance is significantly affected by the flexibility permitted in labour assignments. Moreover, the sensitivity of performance to labour assignments is significantly impacted by staffing levels and the magnitude of learning effects.

Shop Performance Implications of Using Cells, Partial Cells, and Remainder Cells*

ABSTRACTThis paper considers the application of cellular manufacturing (CM) to batch production by exploring the shop floor performance trade‐offs associated with shops employing different levels of CM. The literature has alluded to a continuum that exists between the purely departmentalized job shop and the completely cellular shop. However, the vast majority of CM research exists at the extremes of this continuum. Here, we intend to probe performance relationships by comparing shops that exist at different stages of CM adoption. Specifically, we begin with a hypothetical departmentalized shop found in the CM literature, and in a stepwise fashion, form independent cells. At each stage, flow time and tardiness performance is recorded. Modeling results indicate that, depending on shop conditions and managerial objectives, superior shop performance may be recorded by the job shop, the cell shop, or by one of the shops between these extreme points. In fact, under certain conditions, shops that contain partially formed cells perform better than shops that use completely formed cells. Additional results demonstrate that in order to achieve excellent performance, managers investigating specific layouts need to pay especially close attention to changes in machine utilization as machine groups are partitioned into cells.

Cellular vs process layouts: an analytic investigation of the impact of learning on shop performance

Evidence from the literature on cellular manufacturing suggests that shops configured as manufacturing cells perform poorly compared to job shops. However, cellular shops, being conducive to the use of teams in the assignment of production activities, have the potential to yield higher productivity than a job shop. Productivity differentials, and in particular, differences in the rates at which processing times can be reduced, have been largely overlooked in prior comparisons of cellular and job shops. This paper uses queuing theory to illustrate the relationship between processing time learning rates and flow time performance in cellular and job shops. Models are developed that make it possible to estimate the learning rate required in a cellular shop in order for it to yield performance comparable to that of a job shop. Simulation is used to validate the models under dynamic conditions as opposed to the steady state conditions assumed by queuing theory. Results indicate that a cellular shop need only achieve a marginally higher learning rate than a job shop in order to perform at a comparable level.

Incorporating the impact of learning in assessing the effectiveness of cellular manufacturing

Previous studies suggest that despite their intuitive appeal, cellular manufacturing systems are only effective in a batch production environment under a limited set of conditions. However, these studies have not taken into account the potential for productivity improvements unique to shops organized around product and work groups. Improvements that yield processing time reductions and rapid movement down the learning curve may offset the limited flexibility that typically compromises the performance of cellular shops. This paper demonstrates that if a cellular shop can yield even marginally greater reductions in processing times than a job shop, it can outperform the job shop under conditions previously thought to be unfavourable to a cellular shop. Learning curve theory is used to show that this can be achieved at modest levels of output and also under conditions not typically associated with cellular shop configurations.

Reducing flow between manufacturing cells: a sensitivity analysis

Abstract We evaluate the sensitivity of cellular manufacturing performance to a reduction in intercell flow. Results from our simulation experiment indicate that the performance of cellular shops operating with lower run time variability, smaller batch sizes, longer setup times and larger reductions in setup times due to dedication, has a greater sensitivity to a reduction of intercell flow. In these scenarios, it would be easier to justify an investment in additional machines or specialized tooling required to reduce the level of intercell flow.