List – I List – II (a) Technological Processes (i) Building Design, Facility Layout (b) Facilities (ii) Vendor Capabilities, Acquisition Decision (c) Personnel Estimates (iii) Process Design, Process Linkage (d) Vertical Integration Studies (iv) Skill Requirements, Supervision Requirements
Column A Column B a. Computer used to operate large corporate systems and databases 1.Components of information system b. Data flow diagram 2. RAID c. Equipment, procedures and end user 3. Structured design
List I List II (a) H.M.L. classification (i) To determine the criticality of an item and its effect on production and other services. It is specially used for classification of spare parts. (b) V.E.D. classification (ii) Based on the pattern of issues from stores and is useful in controlling obsolescence and helpful in identifying […]
List – I Model Type (name) List – II (Description) a. Delphi technique i. Causal quantitative model b. Economic modeling ii. Quantitative model (Naive) c. Exponential Smoothing iii. Qualitative model
List – I List – II a. Any physically identifiable part of a project i. Network b. The terminal point of an activity ii. Event c. The longest chain in the Network iii. Activity d. Logically and sequentially connected arrows and nodes iv. Critical path
List – I List – II a. To co-ordinate work centre schedules by showing the progress of each job i. EOQ b. The goal of continuous improvement in every phase of manufacturing ii. Queue length c. Optimal quantity asked to supply that minimizes total annual stocking costs iii. Gantt chart d. End product or service […]
Column A Column B (a) A process to upgrade the quality of the data before it is moved into a data warehouse. (i) Pattern recognition (b) A system that is used to run the business in real time and is based on current data. (ii) Data Scrubbing (c) A critical success factor in data mining […]
List I List II a. For fraction or proportion of defects 1. R chart b. For number of defects 2. C chart c. For number of defects for unit 3. nP Chart d. For monitoring process variability 4. P Chart