How to Make a Natural Resources Inventory

A Handbook How to Make a Natural Resources Inventory for Your Community Prepared by: James F. Connors, Sterling Dow III & Dean B. Bennett Community Natural Resources Inventory Project (Title I, Higher Education Act), The University of Maine at Portland - Gorham (Project Sponsor) and The Maine Association of Conservation Commissions (Project Co-Sponsor), 1975. This handbook is published as a result of a grant from the U.S. Office of Education, Department of Health, Education and Welfare under the Higher Education Act, Title I. No official endorsement by the U.S. Office of Education should be inferred. Contents: Preface / Introduction / Mapping / Selecting the Appropriate Base Map / Topography / Hydrology / Geology / Soils / Vegetation / Land Use / Analysis Techniques / Residential Suitability / Natural Sensitivity / How to Make a Natural Sensitivity Maphttps://digitalcommons.usm.maine.edu/me_collection/1110/thumbnail.jp

TCB operation supply inventory system /TCBSYS/

System produces inventory report for each updated period and special report for long term inventory information summary. Report summarizes consumption, outstanding orders, and balance of each inventory item. System generates, corrects, and adjusts inventory tapes. Restrictions of system are listed

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LIST OF FIGURES -- LIST OF TABLES -- PREFACE -- CHAPTER 1— BACKGROUND & OVERVIEW: Alaska’s Native Lands: Alaska Native Claims Settlement Act Lands: Regional Corporations, Village Corporations, Additional ANCSA Land Entitlements, Former Native Reserve Lands; Other Native Lands: Native Allotments, Annette Island Reservation; Native Land Status; Alaskan Forests; What is a Forest Inventory?; Forest Inventories in Alaska; Forest Inventories on Native Land -- CHAPTER 2 — DETERMINING THE NEED FOR AN INVENTORY: Existing Forest Inventory Information; Agency Inventories: Forest Service Inventories, Bureau of Indian Affairs Inventories, Tanana Chiefs Conference Inventories; Level of Inventory -- CHAPTER 3 — INVENTORY PLANNING: Gathering Information; Planning Considerations: Why is This Inventory Needed?, Where will the Inventory Take Place?, What needs to be Inventoried and What Information is to be Collected?, Who is Going to do the Inventory?, When will the Inventory Take Place?, How is the Inventory going to be Done and How will the Data be Processed?, How Much is the Inventory going to Cost?, Unique Alaskan Constraints: Transportation Logistics, Adverse Weather, Musket, Dangerous Wildlife, Vegetation Barriers, Availability of Supplies and Fuel; Advantages of Planning -- CHAPTER 4 — HOW FOREST INVENTORIES ARE CONDUCTED: Maps and Aerial Photographs: Using Aerial Photographs in Forest Inventories, Using Aerial Photographs for Timber Typing; Statistical Considerations of a Forest Inventory: Variability of the Sample, Number of Samples, Sampling Design; Field Measurements: Tree Height, Tree Diameter and Taper, Tree Defects, Tree Age and Growth, Site Conditions, Forestry Equipment -- CHAPTER 5 — AFTER THE FIELD WORK IS DONE: Compilation of Data; When the Inventory is Complete; Looking Toward the Future -- BIBLIOGRAPHY -- APPENDIX I - ALASKA’S PRINCIPAL TREE SPECIES -- APPENDIX II — USES OF ALASKA'S PRINCIPAL TREE SPECIES -- APPENDIX III — FORESTY CONSULTANTS IN ALASKA -- APPENDIX IV — TECHNICAL ASSISTANCE DIRECTORY -- APPENDIX V — SAMPLE OUTLINE FOR DEVELOPING A FOREST INVENTORY PLAN -- APPENDIX VI — USGS OFFICES IN ALASKA -- APPENDIX VII — NATURAL RESOURCES SCHOOLS IN ALASK

Production RAW Material Inventory Control Information System at PT. SIIX EMS Indonesia

Application of web-based raw material inventory control information system with a bill of materials (BOM) using the PHP and MySQL programming language as a database, and using the SDLC livestock device engineering method with stages of planning, design, implementation, and testing. I create a recording application that provides information about the availability of raw material reducing the error in calculating the amount of raw material based on the bill of material. With this application, it can help to purchase in determining the number of raw materials needed for production based on the master bill of material data

The management of inventories and inventory management system in a small retail enterprise

The study deals with inventory management and inventory management systems in small retail enterprises. The primary aim of this research was to find out issues regarding inventory management and inventory management systems in the small retail business at Evergreen Dairy and Spices. In New Zealand, 97 percent of businesses are small to medium enterprises, and SMEs play an important role in the economy of New Zealand. Inventory management has a tremendous influence on small retail businesses. Data for this research was collected from small retail shops which mainly deal with grocery products. All primary data were gathered using qualitative methods by conducting semi-structured interviews. From analysing the collected data I found many loopholes in the organisation's inventory management system. The evidence shows that the organisation did not use a proven scientific method to manage inventory in the store. The data gathered points to this business facing issues related to turnover of inventory. Based on the findings, suitable suggestions are made for the organisation to improve inventory management and stock control in the business. The suggestions may not apply to all small retail enterprises

Inventory drivers in a pharmaceutical supply chain

In recent years, inventory reduction has been a key objective of pharmaceutical companies, especially within cost optimization initiatives. Pharmaceutical supply chains are characterized by volatile and unpredictable demands –especially in emergent markets-, high service levels, and complex, perishable finished-good portfolios, which makes keeping reasonable amounts of stock a true challenge. However, a one-way strategy towards zero-inventory is in reality inapplicable, due to the strategic nature and importance of the products being commercialised. Therefore, pharmaceutical supply chains are in need of new inventory strategies in order to remain competitive. Finished-goods inventory management in the pharmaceutical industry is closely related to the manufacturing systems and supply chain configurations that companies adopt. The factors considered in inventory management policies, however, do not always cover the full supply chain spectrum in which companies operate. This paper works under the pre-assumption that, in fact, there is a complex relationship between the inventory configurations that companies adopt and the factors behind them. The intention of this paper is to understand the factors driving high finished-goods inventory levels in pharmaceutical supply chains and assist supply chain managers in determining which of them can be influenced in order to reduce inventories to an optimal degree. Reasons for reducing inventory levels are found in high inventory holding and scrap related costs; in addition to lost sales for not being able to serve the customers with the adequate shelf life requirements. The thesis conducts a single case study research in a multi-national pharmaceutical company, which is used to examine typical inventory configurations and the factors affecting these configurations. This paper presents a framework that can assist supply chain managers in determining the most important inventory drivers in pharmaceutical supply chains. The findings in this study suggest that while external and downstream supply chain factors are recognized as being critical to pursue inventory optimization initiatives, pharmaceutical companies are oriented towards optimizing production processes and meeting regulatory requirements while still complying with high service levels, being internal factors the ones prevailing when making inventory management decisions. Furthermore, this paper investigates, through predictive modelling techniques, how various intrinsic and extrinsic factors influence the inventory configurations of the case study company. The study shows that inventory configurations are relatively unstable over time, especially in configurations that present high safety stock levels; and that production features and product characteristics are important explanatory factors behind high inventory levels. Regulatory requirements also play an important role in explaining the high strategic inventory levels that pharmaceutical companies hold

Inventory or Stockcheck?

You have been assigned to physically count every learning resource item currently shelved in your collection. How would you respond to this seemingly impossible and intimidating task? Without a doubt, you might be overwhelmed as I was. Upon receiving my marching orders to begin counting our main campus collection, I looked around and just stared at row upon row, and shelf upon shelf, cabinet upon cabinet filled with books, video cassette tapes, audio cassette tapes, and books; oh the books. Not to forget slides, microfilm, compact discs, etc. So, where do you begin? For me, I chose to begin counting the section closest to my desk. Rather than let this daunting task discourage me, I just started counting and improvised as the need arose. I knew that I could count everything; I just had to put together a workable plan. The article that follows is a brief description of our library inventory project. All who participated became better acquainted with our main campus collection. My job description requires that I engage in counting our growing collection once every five years. Right now, I’m not counting the days until the next five years begins

Microeconomic Inventory Behavior and Aggregate Inventory Dynamics

The slow adjustment of inventory stocks to changes in sales has been a puzzle for the inventory literature since at least Auerbach and Feldstein (1976). Recent evidence suggests that estimated firm-level adjustment speeds of inventory stocks are significantly higher than estimates based on aggregate data. This paper investigates the circumstances under which such bias occurs using an industry equilibrium model where, consistently with empirical evidence, some firms smooth production while others bunch it. The model can account for the significant downward bias documented empirically when a subset of firms displays countercyclical mark-up movements.