scholarly journals Entry-Item-Quantity-ABC Analysis-Based Multitype Cigarette Fast Sorting System

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Ying Zhao ◽  
Yan Shi ◽  
Hamid Reza Karimi

Numerous items, small order, and frequent delivery are the characteristics of many distribution centers. Such characteristics generally increase the operating costs of the distribution center. To remedy this problem, this study employs the Entry-Item-Quantity (EIQ) method to identify the characteristic of the cigarette distribution center and further analyzes the importance degree of customers and the frequently ordered products by means of EQ/EN/IQ-B/IK statistic charts. Based on these analyses as well as the total replenishment cost optimization model, multipicking strategies and combined multitype picking equipment allocation is then formulated accordingly. With such design scheme, the cigarette picking costs of the distribution center are expected to reduce. Finally, the specific number of equipment is figured out in order to meet the capability demand of the case cigarette distribution center.

2019 ◽  
pp. 132-138
Author(s):  
Nadiya Khorunzhak ◽  
Tetyana Portovaras

Purpose. The aim of the article is identification of requirements and composition of sources of analysis, critical assessment of their information content, as well as emphasis on the application of a systematic approach to the analysis of operating costs and compliance of its method with these criteria. Methodology of research. The empirical research methods are used in the course of the research, in particular: analysis – in order to identify the composition of sources of analysis of operating expenses; generalization – to substantiate the classification of sources of analysis and to formulate recommendations on the choice of methods of analysis, which most fully allow to estimate the operating costs. Findings. The principles of formation of information base of the analysis of operating expenses are substantiated, which will allow to obtain high-quality information on their status and on the basis of the obtained results to predict the activity of the enterprise in the future. The study of the impact of factors on the analysis of operating expenses allowed us to distinguish sources of information into two groups: internal and external. It is determined that internal sources of data for analysis are accounting records, which are formed at enterprises, and which is considered by the authors as a source of analysis of operating expenses. External sources of information the authors consider all possible information resources of an external nature, research of the competitive environment and reporting of subjects with similar types of activity. Originality. The scheme of interconnection sources and analysis results of operations is proposed, which comprehensive utilization, will allow obtaining result analytical information on which management can optimize the cost of compliance with objectives and increase effectiveness of operations. According to modern realities, the most suitable methods of analysis are offered, which allow to adequately assessing the situation of the enterprise in the strategic plane with respect to operating expenses. Practical value. Carrying out an assessment of the operating costs of an enterprise with using various methods and tools of analysis in a complex provides obtaining unbiased data that can be effectively used for the purpose of cost optimization and increase of productivity. Key words: analysis; operating costs; cost optimization; internal sources of information; external sources of information; strategic methods; ABC analysis.


2021 ◽  
Vol 13 (4) ◽  
pp. 168781402110106
Author(s):  
John Rios ◽  
Rodrigo Linfati ◽  
Daniel Morillo-Torres ◽  
Iván Derpich ◽  
Gustavo Gatica

An efficient distribution center (DC) is one that receives, stores, picks and packs products into new logistics units and then dispatches them to points of sale at the minimal operating cost. The picking and packing processes represent the highest operating cost of a DC, and both require a suitable space for their operation. An effective coordination between these zones prevents bottlenecks and has a direct impact on the DC’s operational results. In the existing literature, there are no studies that optimize the distribution of the picking and packing areas simultaneously while also reducing operating costs. This article proposes an integer nonlinear integer programming model that minimizes order preparation costs. It does so by predicting customer demand based on historical data and defining the ideal area for picking and packing activities. The model is validated through a real case study of seven clients and fifteen products. It achieves a [Formula: see text] reduction in operating costs when the optimal allocation of the picking and packing areas is made.


Energy ◽  
2012 ◽  
Vol 48 (1) ◽  
pp. 118-127 ◽  
Author(s):  
Christian Milan ◽  
Carsten Bojesen ◽  
Mads Pagh Nielsen

2014 ◽  
Vol 1006-1007 ◽  
pp. 472-476
Author(s):  
Wei Wang ◽  
Wei Ping Yang ◽  
Ge Yi Liu

With the development of modern logistics system, the automatic logistics distribution centers have been built in most tobacco enterprises. The packaging system plays important role in the distribution center, it is necessary to construct a set of scientific method to evaluate the packaging system mode. According to the real situation of tobacco logistics distribution center, the cost and benefit are set to the general goal. For these three modes of packaging system, packaging by hand, automatic packaging and packaging by heat-shrinkable material, the evaluation index system and hierarchical structure are built. Refer to the hierarchical chart and the principle of AHP, the weight of each index is calculated. On the basis of weight that worked out by AHP, the final evaluation result can be found and analyzed follow the principle of fuzzy comprehensive evaluation. Finally, reference the consequences of the FCE, the DEA model based on FCE is used to enhance the integrality and systematic of the evaluate result.


Author(s):  
Abbas Al-Refaie ◽  
Mays Judeh ◽  
Ming-Hsien Li

AbstractLittle research has considered fuzzy scheduling and sequencing problem in operating rooms. Multiple-period fuzzy scheduling and sequencing of patients in operating rooms optimization models are proposed in this research taking into consideration patient‘s preference. The objective of the scheduling optimization model is obtaining minimal undertime and overtime and maximum patients' satisfaction about the assigned date. The objective of sequencing the optimization model is both to minimize overtime and to maximize patients' satisfaction about the assigned time. A real-life case study from a hospital that offers comprehensive surgical procedures for all surgical specialties is considered for illustration. Research results showed that the proposed models efficiently scheduled and sequenced patients while considering their preferences and hospitals operating costs. In conclusion, the proposed optimization models may result in improving patient satisfaction, utilizing hospital's resources efficiently, and providing assistance to decision makers and planners in solving effectively fuzzy scheduling and sequencing problems of operating rooms.


2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Qingyou Yan ◽  
Qian Zhang ◽  
Xin Zou

The study of traditional resource leveling problem aims at minimizing the resource usage fluctuations and obtaining sustainable resource supplement, which is accomplished by adjusting noncritical activities within their start and finish time. However, there exist limitations in terms of the traditional resource leveling problem based on the fixed project duration. This paper assumes that the duration can be changed in a certain range and then analyzes the relationship between the scarce resource usage fluctuations and project cost. This paper proposes an optimization model for the multiresource leveling problem. We take into consideration five kinds of cost: the extra hire cost when the resource demand is greater than the resource available amount, the idle cost of resource when the resource available amount is greater than the resource demand, the indirect cost related to the duration, the liquidated damages when the project duration is extended, and the incentive fee when the project duration is reduced. The optimal objective of this model is to minimize the sum of the aforementioned five kinds of cost. Finally, a case study is examined to highlight the characteristic of the proposed model at the end of this paper.


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