• Journal of Korean Society of Industrial and Systems Engineering
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• v.10 no.16
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• pp.129-132
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• 1987

Multi-item inventory problems can be well characterized by the nature of interaction of the quantities and timing. This interaction may be due to the effect of certain combination of orders. It is that the set-up cost of ordering individual items can be saved by jointly ordering at a time. This study finds a decision criteria of optimum inventory policy through the comparisons of individual multi-item order policy(IMP), joint multi-item order policy(JMP), augmented multi-item order policy(AMP) in cost ratio. Subsequently we assume that there exists a unique optimum order level corresponding to an optimum reorder range for the augmented multi-item order, at which a cost saying is maximum.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.16 no.4
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• pp.490-496
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• 2009

Purpose: The purpose of this study was to examine the validity of a single item scale by comparing a single item scale of health related quality of life to subscopes of the multi-item scales in the Medical Outcome Study Short Form-36 (SF-36), and Minnesota Living with Heart Failure Questionnaire (MLHFQ). Method: The data from 103 patients with heart failure were analyzed. The statistics program SPSS 12.0 used for descriptive statistics. Results: Significant correlations were found between the single item scale and subscopes of SF-36, for physical functioning (r= .42), role physical (r= .22), general health perception (r= .46), vitality (r= .40), social functioning (r= .20) and mental health (r= .51), but not for body pain (r= .12) and role emotional (r= .06). Physical (r= -.41), emotional (r= -.49) and total scores (r= -.49) of MLHFQ were significantly related to the single item scale. Conclusion: The single item scale of health related quality of life showed low to moderate correlation with multi-item scales. Even though the single item scale was correlated with several subscopes of multi-item scales, the correlation was not high, so we have to use caution when using the single item scale instead of multi-item scales.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.1
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• pp.89-95
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• 2006

Planning distributed manufacturing logistics is one of main issues in supply chain management. This paper proposes a hybrid heuristic approach for the Multi-Level, multi-item Capacitated Lot Sizing Problem (MLCLSP) in supply chain network. MLCLSP corresponds to a mixed integer programming (MIP) problem. With integer variable solutions determined by heuristic search, this MIP problem becomes linear program (LP). By repeatedly solving the relaxed MIP problems with a heuristic search method in a hybrid manner, this proposed approach allocates finite manufacturing resources fur each distributed facilities and generates feasible production plans. Meta heuristic search algorithm is presented to solve the MIP problems. The experimental test evaluates the computational performance under a variety of problem scenarios.

• ETRI Journal
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• v.46 no.2
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• pp.277-289
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• 2024

In this paper, we describe a neural network-based application that recommends multiple items using dialog context input and simultaneously outputs a response sentence. Further, we describe a multi-item recommendation by specifying it as a set of clothing recommendations. For this, a multimodal fusion approach that can process both cloth-related text and images is required. We also examine achieving the requirements of downstream models using a pretrained language model. Moreover, we propose a gate-based multimodal fusion and multiprompt learning based on a pretrained language model. Specifically, we propose an automatic evaluation technique to solve the one-to-many mapping problem of multi-item recommendations. A fashion-domain multimodal dataset based on Koreans is constructed and tested. Various experimental environment settings are verified using an automatic evaluation method. The results show that our proposed method can be used to obtain confidence scores for multi-item recommendation results, which is different from traditional accuracy evaluation.

• Journal of Korean Institute of Industrial Engineers
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• v.11 no.1
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• pp.11-19
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• 1985

This paper analyzes the multi-item order-level system with shortages allowance and storage limitation. Up to now, we have used the classical optimization theory to analyze this system. But the theory is generally not suitable for computational purposes. Therefore, this paper designes a new method to be able to apply the quadratic programming to the multi-item order-level system with storage limitation. A numerical example is also presented.

• Journal of Industrial Technology
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• v.19
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• pp.301-312
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• 1999

The purpose of this paper is to study the effects of container size with multi-stage and multi-item on average inventory and customer service level in Kanban systems. We use the different distributions of demand and interarrival time for each item to show that we had better to change the container size depending on different type of item for this simulation study. The small lot size can be used for container size of a single item if there is no setup time. The container size should be identical with average order size as setup time increases. The fill rate increases if the container size is large with multi-item. However, it is difficult to establish the effective container size because the effects of the container size on the order queue time are not clear. It is suitable to use the average order size as the container size for each item if the variance of demand and interarrival time of each item is relatively small. It is effective to sue the average container size if the variance of them is relatively large.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.1
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• pp.42-48
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• 2002

This paper addresses the necessity of integration between buyer and suppliers for effective implementation of Just-In-Time purchasing in a multi-item environment. An integrated inventory model of facilitating multiple shipments in small lots is developed. Also, an iterative solution procedure is developed to simultaneously find the order(contract) interval for each item and number of shipments between buyer and suppliers. We show by example that when the integrated policy is adopted by both buyer and suppliers in a cooperative manner, both parties can benefit.

• Journal of the Korean Society of Systems Engineering
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• v.12 no.2
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• pp.47-57
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• 2016

As the inventory costs of repairable items in military logistics continue to increase, many studies for optimal inventory level of these items are being carried out in advanced countries, including the US, to reduce these costs. Research on inventory level optimization for repairable items aimed to achieve the availability goal of a system with a MIME(Multi Indenture Multi Echelon) repair policy structure first began with Sherbrooke's METRIC and developed into various types. This research is to analyze and compare recent V-METRIC related studies to search for another variation in this field. This paper mainly looks at how to determine optimum inventory level for each repairable item to achieve a specific availability target within a limited budget, and also how to minimize inventory cost while achieving its availability target by determining optimal inventory level of each repairable item.

• Journal of Families and Better Life
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• v.21 no.1
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• pp.13-24
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• 2003

The purpose of this article Is to review the problems in using Hazan & Shaver,s adult attachment inventory as spousal attachment inventory. In summary, Hazan & Shaver's forced-choice inventory is required to caution in using for spouse attachment inventory because of the disproportionally higher secure-attachment type ratio(72% - 89%). It was previous reseaches that used multi-item Likert inventory instead of Hazan & shaver's forced-choice inventory for result analysis because of disproportionally higher secure-attachment type ratio. Although Hazan & shaver's forced-choice inventory was mostly used for young unmarried adults, Using Hazan & shaver's forced-choice inventory as spouse attachment inventory for married adults seem to be inappropriately. Hazan & Shaver's multi-item Likert inventory has the problem of poor reliability in insecure-avoidence factor especially. Hazan & Shaver's one item Likert inventory has the problem of social desirability.

• Industrial Engineering and Management Systems
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• v.12 no.3
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• pp.172-180
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• 2013

We herein consider a stochastic multi-item inventory management problem in which a warehouse sells multiple items with stochastic demand and periodic replenishment from a supplier. Inventory management requires the timing and amounts of orders to be determined. For inventory replenishment, trucks of finite capacity are available. Most inventory management models consider either a single item or assume that multiple items are ordered independently, and whether there is sufficient space in trucks. The order cost is commonly calculated based on the number of carriers and the usage fees of carriers. In this situation, we can reduce future shipments by supplementing items to an order, even if the item is not scheduled to be ordered. On the other hand, we can reduce the average number of items in storage by reducing the order volume and at the risk of running out of stock. The primary variables of interest in the present research are the average number of items in storage, the stock-out volume, and the number of carriers used. We formulate this problem as a multi-objective optimization problem. In a numerical experiment based on actual shipment data, we consider the item shipping characteristics and simulate the warehouse replenishing items coordinately. The results of the simulation indicate that applying a conventional ordering policy individually will not provide effective inventory management.