A Mathematical Model for Optimal Partitions of Warehouse Storage Space Based on Turnover Density

The increasingly usage of Intensive shelves, greatly increase the utilization of storage space, but also is more demanding on order picking time . Based on the storage layout of intensive mobile shelves, this paper combines the time cost of shelf movement with the moving distance under the guidance of seeking global optimum. Transform the single order picking process into TSP problem, while considering the picking process. The waiting cost of the order, and the minimum of the picking cost and the waiting cost of the whole batch of orders requiring shelf movement, to establish a two-stage mathematical model of the order picking order. Then, the algorithm for solving the model is designed, and the simulation is carried out by numerical examples to illustrate the law and characteristics of the problem more vividly, in order to provide reference and reference for the order picking activities of intensive mobile shelves.

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Hybrid genetic algorithm-based optimisation of the batch order picking in a dense mobile rack warehouse

PLoS ONE ◽

10.1371/journal.pone.0249543 ◽

2021 ◽

Vol 16 (4) ◽

pp. e0249543

Author(s):

Jianglong Yang ◽

Li Zhou ◽

Huwei Liu

Keyword(s):

Genetic Algorithm ◽

Mathematical Model ◽

Hierarchical Clustering ◽

Hybrid Genetic Algorithm ◽

Order Picking ◽

Location Information ◽

Storage Space ◽

Time Cost ◽

Solution Algorithms ◽

Multiple Orders

The utilization of a storage space can be considerably improved by using dense mobile racks. However, it is necessary to perform an optimisation study on the order picking to reduce the time cost as much as possible. According to the channel location information that needs to be sorted, the multiple orders are divided into different batches by using hierarchical clustering. On this basis, a mathematical model for the virtual order clusters formed in the batches is established to optimize the order cluster picking and rack position movement, with the minimum picking time as the objective. For this model, a hybrid genetic algorithm is designed, and the characteristics of the different examples and solution algorithms are further analysed to provide a reference for the solution of the order picking optimisation problem in a dense mobile rack warehouse.

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Usulan Perbaikan Rancangan Tata Letak Penyimpanan Bahan Baku Berdasarkan Kriteria Pemakaian Bahan

JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI ◽

10.36722/sst.v2i2.127 ◽

2013 ◽

Vol 2 (2) ◽

pp. 69

Author(s):

Lamto Widodo ◽

Nofi Erni ◽

Rizky Sari Nuranisa

Keyword(s):

Processing Time ◽

Raw Materials ◽

Storage System ◽

Raw Material ◽

Storage Space ◽

Warehouse Storage ◽

The Impact ◽

A Company ◽

Distance Operator ◽

Operator Assistance

Abstrak - PT. Talkindo Selaksa Anugrah merupakan perusahaan yang bergerak di bidang manufaktur makanan dan minuman. Guna memperlancar proses pemenuhan permintaan bahan baku dari outlet-outlet untuk diproduksi, dibutuhkan pengelolaan yang baik dalam penyimpanan bahan baku. Pengalokasian bahan baku di area Dry J.CO yang disimpan masih menggunakan penyimpanan secra random/acak yang berakibat terlambatnya pasokan bahan baku ke bagian pengiriman, karena terlalu lamanya waktu untuk mencari bahan baku dan bertambahnya waktu perjalanan operator. Kurang lancarnya pasokan bahan baku ke bagian pengiriman menyebabkan menurunnya produktivitas dari bagian pengiriman. Penelitian ini bertujuan melakukan perbaikan rancangan tata letak penyimpanan bahan baku sehingga mengurangi waktu mencari bahan baku, mengurangi jarak perjalanan operator dalam pengambilan dan pengiriman bahan baku ke bagian pengiriman serta mengingkatkan utilitas ruang gudang. Pendekatan relayout menggunakan prinsip Seiton dari 5S serta memperhatikan tingkat popularity komoditi yang disimpan, kondisi ruangan yang tersedia. Hasil penelitian menunjukkan rancangulang tata letak penyimpanan bahan baku berdasarkan kriteria popularity dapat mengurangi waktu proses pergudangan dari 20 menit 16 detik menjadi 13 menit 14 detik, serta dengan adanya peningkatan utilitas ruang gudang dari 65,47% menjadi 78,69% yang berdampak pada berkurangnya perjalanan operator dalam mengambil dan mengirim ke bagian pengiriman. Abstract - PT. Talkindo Selaksa Anugrah is a company engaged in manufacturing of food and beverages. In order to expedite the process of fulfilling the demand of raw materials for production outlets, it takes good management in the storage of raw materials. Allocation of raw materials in the area of “Dry J.CO” stored still use random storage system resulting delay of supply of raw materials to the delivery, because it takes too much time to find raw materials and also increase operator’s travel time. The delay of supply of raw materials to the delivery causes decreased productivity of the delivery departement. This research purpose to redesign the storage system and designing better layout so as to reduce the time looking for raw materials, reducing the travel distance operator and increase the utility of warehouse’ storage space. The re-layout approach is done by applying the principles of the Seiton method (5S) and also huge attention to the raw material itself, called as “popularity of commodity factors” and the availbility of the storage. Based on the analysis and the results of data processing show that the layout of the storage of raw materials based on the criteria of popularity can reduce warehouse processing time of 20 minutes 16 seconds to 13 minutes 14 seconds, and also the increased utility of warehouse space from 65,47% to 78,69% as the impact of the reduction of operator assistance in taking and sending to the delivery departement.

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Developing a Mathematical Model for Order Quantity Optimization by Considering Discount

International Journal of Contemporary Research and Review ◽

10.15520/ijcrr.v0i0.685 ◽

2019 ◽

pp. 21449-21466

Author(s):

Ina Mehta ◽

Kalpana Gill

Keyword(s):

Mathematical Model ◽

Management Decision ◽

Optimal Order ◽

Storage Space ◽

Order Quantity ◽

Proposed Model ◽

Compressor Design ◽

Management Decision Making ◽

Turbo Compressor ◽

Planning Problems

This work is aimed at presenting a mathematical model for determining the optimal order in-extenuating conditions (All Unit Discount, Incremental Discount). The expected results are producing several kinds of multi-supplier and multi-time periods with regards to inventories, demand, suppliers' capacity, storage space, and budget constraints in order. It is desirable to minimize the purchasing costs, storage and ordering while considering the lack of needed materials at specified times. To confirm the efficiency of the proposed model in solving purchase planning problems in real world, it has been applied in Asian Oil Turbo Compressor Design Corporation and received approval from the obtained results and experts’ comments. To solve the designed model, the GAMS software is used. Also, model sensitivity analysis and usable results in management decision making based on the importance of proposed matters (shortage reduction in each period and demand increase effect on final cost) are then presented.

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Inventory lot sizing and supplier selection for multiple products, multiple suppliers, multiple periods with storage space using lingo program

MATEC Web of Conferences ◽

10.1051/matecconf/201925904004 ◽

2019 ◽

Vol 259 ◽

pp. 04004

Author(s):

Muoyleang Sambatt ◽

Chirawat Woarawichai ◽

Thanakorn Naenna

Keyword(s):

Mathematical Model ◽

Decision Making ◽

Supplier Selection ◽

Lot Sizing ◽

Storage Space ◽

Inventory Cost ◽

Multiple Products ◽

Selection For ◽

Develop Mathematical Model ◽

Selection Of

This study focuses on inventory lot sizing for supplier selection of multiple products; suppliers and periods with storage space constraint. The objective is to develop mathematical model. Lingo software program is used as solution tool. The proposed problem is found as mix integer linear programming (MILP) which beneficial for decision making of choosing optimal supplier and product in right period of time with minimum overall inventory cost.

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Indirect measurements in micro-space with the EM

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100139366 ◽

1995 ◽

Vol 53 ◽

pp. 598-599

Author(s):

Sterling P. Newberry

Keyword(s):

Electron Microscope ◽

Standard Model ◽

Particle Physics ◽

Information Storage ◽

Storage Space ◽

Indirect Measurements ◽

Storage And Retrieval ◽

Adequate Information ◽

Compelling Reason ◽

The Standard Model

At the 1958 meeting of our society, then known as EMSA, the author introduced the concept of microspace and suggested its use to provide adequate information storage space and the use of electron microscope techniques to provide storage and retrieval access. At this current meeting of MSA, he wishes to suggest an additional use of the power of the electron microscope.The author has been contemplating this new use for some time and would have suggested it in the EMSA fiftieth year commemorative volume, but for page limitations. There is compelling reason to put forth this suggestion today because problems have arisen in the “Standard Model” of particle physics and funds are being greatly reduced just as we need higher energy machines to resolve these problems. Therefore, any techniques which complement or augment what we can accomplish during this austerity period with the machines at hand is worth exploring.

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