Thesis (M.S.)--Ohio State University, 1979. / Bibliography: leaves 196-201. Available online via OhioLINK's ETD Center

La investigación “Mejora de tiempos de Picking mediante la implementación de la metodología 5s en el Área de Almacén de la empresa Ipesa SAC sucursal Huancayo”, tuvo como objetivo implementar la metodología 5s para mejorar tiempos de Picking, el estado inicial de desorganización, el espacio libre, horas hombre y cantidad de despachos en el área de almacén de la empresa Ipesa SAC sucursal Huancayo. En la presente investigación se utilizó el método cuantitativo, un tipo de investigación básica, el nivel de investigación es correlacional y el diseño que se utilizó fue descriptiva comparativa. Como población tenemos a la sucursal Huancayo de la empresa Ipesa SAC, y la muestra viene a ser el Área de Almacén. / Tesis

This thesis investigates the impact of integrating Zone Bypass (ZBP) conveyor to a Pick-To-Light (PTL) order picking system. This integration results in a new system (PTL+Z), which could be helpful to achieve higher levels of productivity in warehousing operations. Two options have been proposed to improve the current PTL system productivity. One is to adapt the ZBP conveyor, which will help each order to bypass unnecessary zones with nothing to pick. Another one is to better plan stock keeping units (SKU) assignment by applying level loading assignment. Mathematical models are developed to evaluate system throughput of PTL system with random assignment (PTL/R), PTL system with level loading assignment (PTL/L), PTL+Z system with random assignment (PTL+Z/R), and PTL+Z system with level loading assignment (PTL+Z/L). Simulation models are validated to test the reliability of mathematical models. Also, economic analysis is developed in term of payback period for decision purpose.

This item was digitized as part of the Million Books Project led by Carnegie Mellon University and supported by grants from the National Science Foundation (NSF). Cornell University coordinated the participation of land-grant and agricultural libraries in providing historical agricultural information for the digitization project; the University of Arizona Libraries, the College of Agriculture and Life Sciences, and the Office of Arid Lands Studies collaborated in the selection and provision of material for the digitization project.

No description available.

This research addresses decisions involved in the design of an order picking system in a distribution center. A distribution center (DC) in a logistics system is responsible for obtaining materials from different suppliers and assembling (or sorting) them to fulfill a number of different customer orders. Order picking, which is a key activity in a DC, refers to the operation through which items are retrieved from storage locations to fulfill customer orders. Several decisions are involved when designing an order picking system (OPS). Some of these decisions include the identification of the picking-area layout, configuration of the storage system, and determination of the storage policy, picking method, picking strategy, material handling system, pick-assist technology, etc. For a given set of these parameters, the best design depends on the objective function (e.g., maximizing throughout, minimizing cost, etc.) being optimized. The overall goal of this research is to develop a set of analytical models for OPS design. The idea is to help an OPS designer to identify the best performing alternatives out of a large number of possible alternatives. Such models will complement experienced-based or simulation-based approaches, with the goal of improving the efficiency and efficacy of the design process. In this dissertation we focus on the following two key OPS design issues: configuration of the storage system and selection between batch and zone order picking strategies. Several factors that affect these decisions are identified in this dissertation; a common factor amongst these being picker blocking. We first develop models to estimate picker blocking (Contribution 1) and use the picker blocking estimates in addressing the two OPS design issues, presented as Contributions 2 and 3. In Contribution 1 we develop analytical models using discrete-time Markov chains to estimate pick-face blocking in wide-aisle OPSs. Pick-face blocking refers to the blocking experienced by a picker at a pick-face when another picker is already picking at that pick-face. We observe that for the case when pickers may pick only one item at a pick-face, similar to in-the-aisle blocking, pick-face blocking first increases with an increase in pick-density and then decreases. Moreover, pick-face blocking increases with an increase in the number of pickers and pick to walk time ratio, while it decreases with an increase in the number of pick-faces. For the case when pickers may pick multiple items at a pick-face, pick-face blocking increases monotonically with an increase in the pick-density. These blocking estimates are used in addressing the two OPS design issues, which are presented as Contributions 2 and 3. In Contribution 2 we address the issue of configuring the storage system for order picking. A storage system, typically comprised of racks, is used to store pallet-loads of various stock keeping units (SKU) --- a SKU is a unique identifier of products or items that are stored in a DC. The design question we address is related to identifying the optimal height (i.e., number of storage levels), and thus length, of a one-pallet-deep storage system. We develop a cost-based optimization model in which the number of storage levels is the decision variable and satisfying system throughput is the constraint. The objective of the model is to minimize the system cost, which is comprised of the cost of labor and space. To estimate the cost of labor we first develop a travel-time model for a person-aboard storage/retrieval (S/R) machine performing Tchebyshev travel as it travels in the aisle. Then, using this travel-time model we estimate the throughput of each picker, which helps us estimate the number of pickers required to satisfy the system throughput for a given number of storage levels. An estimation of the cost of space is also modeled to complete the total cost model. Results from an experimental study suggest that a low (in height) and long (in length) storage system tends to be optimal for situations where there is a relatively low number of storage locations and a relatively high throughput requirement; this is in contrast with common industry perception of the higher the better. The primary reason for this contrast is because the industry does not consider picker blocking and vertical travel of the S/R machine. On the other hand, results from the same optimization model suggest that a manual OPS should, in almost all situations, employ a high (in height) and short (in length) storage system; a result that is consistent with industry practice. This consistency is expected as picker blocking and vertical travel, ignored in industry, are not a factor in a manual OPS. In Contribution 3 we address the issue of selecting between batch and zone picking strategies. A picking strategy defines the manner in which the pickers navigate the picking aisles of a storage area to pick the required items. Our aim is to help the designer in identifying the least expensive picking strategy to be employed that meets the system throughput requirements. Consequently, we develop a cost model to estimate the system cost of a picking system that employs either a batch or a zone picking strategy. System cost includes the cost of pickers, equipment, imbalance, sorting system, and packers. Although all elements are modeled, we highlight the development of models to estimate the cost of imbalance and sorting system. Imbalance cost refers to the cost of fulfilling the left-over items (in customer orders) due to workload-imbalance amongst pickers. To estimate the imbalance cost we develop order batching models, the solving of which helps in identifying the number of items unfulfilled. We also develop a comprehensive cost model to estimate the cost of an automated sorting system. To demonstrate the use of our models we present an illustrative example that compares a sort-while-pick batch picking system with a simultaneous zone picking system. To summarize, the overall goal of our research is to develop a set of analytical models to help the designer in designing order picking systems in a distribution center. In this research we focused on two key design issues and addressed them through analytical approaches. Our future research will focus on addressing other design issues and incorporating them in a decision support system. / Ph. D.

No description available.

Industrial robots are very popular in now day’s automation factories, industrial robots can perform jobs that people are not willing or able to perform. Industrial robots can repeat the same work at the exactly same way, resulting a higher quality of production.  Industrial robots can work in several areas, each robot must have a specific tool for each area. This thesis includes design of a gripper tool for an industrial robot for picking and placing different laser notched generator-parts. The product is being designed for the division of electricity in Uppsala University. A gripper tool prototype might be built in the future. The report begins with a theoretical comparison between lifting and gripping techniques for later deciding which technique is most suitable for picking and placing the different parts. A pre-study and a short description about different transporting systems have been made. After the pre-study different concepts were developed, the best suitable concept was selected for further development and final construction. The final design of the gripper tool was used in the robot cell-simulation program ABB Robot Studio for choosing a proper cell design. The gripper tool was designed in light weight material aluminium, and uses electromagnets for picking and releasing the different notched part.  The gripper tool is assembled on an industrial robot from ABB, IRB 7600 with a handling capacity of 150 kg and 3.5m reach. / I dagens automatiserade fabriker är industrirobotar väldigt populära, då industrirobotar kan utföra arbeten som människor inte vill eller kan utföra.  Industrirobotar kan utföra samma arbete flera gånger om på exakt samma sätt, vilket medför en högre kvalitet på produktionen. Industrirobotar kan arbeta inom flera olika områden, för varje område måste industrirobotarna vara utrustade med ett speciellt verktyg. I detta examensarbete designas ett gripdon för en industrirobot som skall plocka och placera olika laserskurna generatordetaljer. Produkten designas för Avdelningen för Elektricitetslära vid Uppsala Universitet. En prototyp av gripdonet kan bli aktuellt i framtiden. Arbetet inleddes med en teoretisk jämförelse mellan olika grepp- och lyfttekniker för att sedan avgöra vilken grepp- respektive lyftteknik passar bäst för plockning och placering av de olika detaljerna. Förstudie och en kort beskrivning av olika transportmetoder ingår. Efter förstudien togs olika möjliga koncept fram för att sedan välja ut det bäst passande konceptet för ytterligare utveckling och en slutlig konstruktion. Den slutliga designen användes seden i robotcellsimuleringsprogrammet ABB Robot Studio för utförandet av experimenten. Gripdonet designades i aluminium och använder elektromagneter som lyftteknik för plockning och placering av de olika skurna plåtdetaljerna. Gripdonet monteras sedan på en industrirobot från ABB, IRB 7600 med lastkapaciteten 150 kg och en räckvidd på 3.5 m.

No description available.

No description available.