Warehouse Storage Capacity Research Articles

Technology Adoption in Food Supply Chain Management in Developing Countries: A Review

Food loss and waste is one of the major reasons for global food insecurity. Food losses occur at all stages of the food supply chain, including agricultural produce, harvesting, transport, storage, and processing. Food loss and waste are exacerbated by a lack of adequate and effective food supply chain management (FSCM). An effective food supply chain (FSC) includes designing processing and distribution centres, managing the cold chain, and designing reverse logistics. It also includes functions like allocating warehouse storage capacity, vehicle routing and material flow issues, delivery scheduling, and inventory management issues. Adoption of new information technology such as big data and Internet of Things can improve FSC performance and have a significant impact on reducing food waste and loss. An effective system for sharing information can enhance FCC performance, and intelligence in automated retail ordering can prevent food spoilage, while machine learning, and blockchain can improve FSC traceability. However, there are several obstacles to the use of technology in the FSC, particularly in developing countries. These are classified as technical, financial, social, operational, educational, and governmental. This paper provides an in-depth review of the existing literature on the FSC, technology applications in improving FSCM, key challenges associated with technology adoption, and interventions that may help overcome these challenges. It adds to the existing literature on FSCM, especially on issues related to technology adoption in the FSC by developing countries, and is a useful resource for students, researchers and food supply chain professionals.

Measuring performance of government-supported drug warehouses using DEA to improve quality of drug distribution

PurposeDrug warehouses (DWs) play a crucial role in drug distribution of government-supported healthcare supply chain as it controls both the cost and responsiveness of the logistics activities. The current study proposes a methodology using data envelopment analysis (DEA) to estimate the performance along different dimensions and was applied to 30 government-supported DWs.Design/methodology/approachThis study employs DEA to evaluate the performance and relative technical efficiency of DWs. In this research, four inputs and six outputs are identified based on intensive literature review and discussion with all stakeholders of DWs. The inputs are warehouse storage capacity, temperature-controlled storage capacity, number of skilled employees and operational cost, while the outputs are fill rate, number of generic drugs, volume of drugs, consumption points, inventory turns ratio and time efficiency.FindingsResults show that 30% DWs operate at the most productive scale size with 100% efficiency level while 47% DWs have a significant possibility for further enhancement in productive efficiency and 23% DWs should diminish their operational size to increase their productivity level. It was also found that achieving 100% operational productivity along warehouse space capacity needs significant effort, whereas other three inputs, namely temperature-controlled capacity, number of skilled employees and operational cost, require comparatively less effort. Similarly, it was observed that the performance along the fill rate and time efficiency is satisfactory, whereas the performance along other fours output variables (i.e. number of generic drugs, volume of drugs, consumption points and inventory turns ratio) needs to be improved.Practical implicationsThe findings offer insights on the inputs and outputs that significantly contribute to efficiencies so that inefficient DWs can focus on these factors.Originality/valueAlthough many issues related to DEA have been widely researched and reported, but no literature has been found for analysis of DWs in general and government-supported DWs specifically to find out efficiencies for supply chain performance improvement.

Application of RFID in Chemical Storage and Logistics Management

According to the object-oriented analysis method, the demand analysis of intelligent monitoring system for hazardous chemicals logistics based on RFID and WSN is carried out, which analyzes the essential use cases of the system, the performance requirements for system design and other requirements. Also, the functional framework and module of the software system and the logical frame of the hardware system are constructed. The composition and structure and the internal logical relationship are introduced; the intelligent decision-making function module is introduced and the overall structure is given, which highlights the key role and composition of the model base and analyzes the core issues of the intelligent decision-making of hazardous chemicals logistics. The warehouse distribution method of hazardous chemicals based on rolling time domain optimization strategy is studied. Considering the drive of the uncertainty of transportation process and arrival time and for the warehouse storage capacity, the storage and distribution model of hazardous chemicals is established based on rolling time domain optimization strategy with the goal of maximizing warehouse utilization efficiency under the constraints of the limited storage conditions of hazardous chemicals, storage capacity of the target warehouse, external environment of the warehouse, warehousing and transportation conditions to solve the problem identification of target warehouse and the distribution of storage capacity in the storage and distribution of hazardous chemicals.

Designing Floor Tile Warehouse Layout Using Heuristic Approach Method to Increase Warehouse Capacity and Reduce Travel Distance

XYZ Company is a distributor focused on distributing floor and wall ceramic tiles. XYZ Company has its own warehouse for storing finished goods with Last In First Out rotation. The XYZ Company Warehouse has an area of 12,312 m2 with floor stack system. An issue currently risen to the warehouse is that the warehouse is currently overcapacity that urges the company to store some of its SKUs to be stored out of the block or even outside the warehouse. The overcapacity causes some problems including accessibility problem, distribution of storage and retrieval activities, and damaged product. In addition, higher throughput items allocation were not placed near to the input/output point so the material handling went through long travel to do its activities and it caused higher total travel distance. This research is focused on determining the warehouse layout to increase warehouse storage capacity and reduce travel distance. The procedure taken to solve the issue is by redesigning warehouse layout through heuristic approach method. The heuristic approach method is comprised by algorithms that can determine dimensions of storage zone and material assignment needed in designing warehouse layout. It is aimed at having some combinations of lane depths and storage zones to increase the warehouse storage capacity by considering the throughput of each SKU. The next step is allocating the items so it can reduce the monthly travel distance. The proposed design layout, shows that warehouse capacity increases by 35.53% or 5,319 pallet positions and monthly travel distance decreases by 24.58% or 216,032 meters.
 
 Keywords—heuristic approach, travel distance, warehouse layout.

Designing Floor Tile Warehouse Layout Using Heuristic Approach Method to Increase Warehouse Capacity and Reduce Travel Distance

XYZ Company is distributor that focused on distributes floor and wall tiles ceramic. XYZ Company has its own warehouse for storing finished good with Last In First Out (LIFO) rotation. XYZ Company’s warehouse has area of 12,312 m2 with floor stack system. The issued that currently raised is warehouse condition that is overcapacity so several SKUs are stored out of the block even placed outside the warehouse. The impact of overcapacity are accessibility problem, storage and retrieval activities are hampered, and damaged product. In addition, the allocation of higher throughput items were not placed near to the input/output point so the material handling went through long travel to do its activities and it caused higher total travel distance. This research focuses on determining the warehouse layout to increase warehouse storage capacity and reduce travel distance. The procedure to solve the issue will be done by redesign warehouse layout with heuristic approach method. The objective are a combination of lanes depths and storage zones to increase the warehouse storage capacity by considering throughput of each SKU. The next step is allocate the items so it can reduces the monthly travel distance. Based on proposed design layout, obtained the warehouse capacity increase by 35.53% or as much as 5,319 pallet positions and monthly travel distance is decreased by 24.58% or 216,032 meters.

Solving multi-region multi-facility inventory allocation and transportation problem: A case of Indian public distribution system

In this paper, we study an inventory allocation and transportation problem in a supply chain consisting of multiple storage facilities (warehouses) located in different regions of a large geographic area, which is motivated by the case of the Indian public distribution system. The procurement in each region is known and the item procured within a region needs to be allocated for storage in the warehouses of the same region. The demand of each region is satisfied by the warehouses located in the respective regions. Consideration of region-wise aggregated demand/procurement over multiple facilities located in each region makes the proposed study different from the existing literature. There is a mismatch in procurement, demand, and available storage capacity of warehouses across all the regions. Therefore, the problem is to determine an optimal plan for holding inventory at different storage facilities and to satisfy the demand of all regions without shortages by transporting items between different storage facilities. A mixed integer linear programming model is formulated to minimize the total relevant costs over a finite planning horizon. A heuristic devising activity based decision rules is proposed to solve the problem by decomposing the problem into sub-problems. The performance of the proposed approach is compared with the exact solutions obtained using Cplex for several problem instances. The results of the computational analysis reveal that the proposed solution approach is computationally efficient and gives good quality solutions with an average cost deviation from the optimal solution of less than 6%.

RANCANG BANGUN MODEL PERSEDIAAN DAN PEMILIHAN PEMASOK BAHAN BAKU KELAPA PARUT KERING DI PT. X

PT. X is an integrated agro-industry coconut company. The main products produced aredesicated coconut from coconut grain with a shelf life of 7 days as raw materials. The companycurrently constrained in 30-40% expired stock at the warehouse and insufficient capacity of thewarehouse. Another problem is the supply of raw materials (desicated coconut) from suppliersaround 20-35% did not comply with the specifications of diameter ≥ 10 cm. Seeing these conditionsrequired the model design of inventory and supplier selection with a balance of shelf life andstorage capacity as well as alternative suppliers that capable to provide raw materials (desicatedcoconut) with a diameter ≥ 10 cm continually. The method used in the design of this model is thedevelopment of methods Economic Order Quantity (EOQP) and lagrange multiplier used for theeconomic lot size ordering and fulfillment warehouse storage capacity as well as methodsAnalitycal Hierarchy Process (AHP) for the selection of alternative suppliers that meet thespecifications of raw materials and economical ordering quantity lots. The results of the design ofthis model produced economically ordering lot size 300.000 coconuts with total inventory cost Rp.55,5 million and is the District 1 alternative suppliers. In accordance with the results of analysisand expert opinion that the study design was verified and valid models.

Optimization of warehouse storage capacity under a dedicated storage policy

The problem of the determination of the space requirements for warehouse systems operating under a dedicated storage policy, full turnover-based storage, is investigated. Space shortage occurs when demand exceeds the warehouse storage capacity. The additional space requirement is satisfied by considering a leased storage space. The warehouse storage capacity problem is then formulated as a non-linear programming model to minimize the total cost of owned and leased storage space. An iterative search procedure, which always generates the optimal solution, is developed. Illustration of the approach for systems operating under the standard economic-order-quantity inventory model is provided. The results obtained using the optimization approach presented can be used for determining bounds or approximations for the first-cut design of the storage space requirements.

Estimating the capacity of warehouses.

The required capacity of warehouses for use in humanitarian emergencies is very often overestimated. This paper reviews some of the principal factors affecting warehouse capacity for emergency humanitarian operations in developing countries. The growing difference between modern commercial warehousing practice and the approach typically used in humanitarian emergencies is highlighted. The principal constraints on capacity are identified and discussed. A simple method for estimating the storage capacity of warehouses for emergency operations is then presented.