FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W75148811> ?p ?o ?g. }

• W75148811 abstract "Process planning and tolerance allocation are the main sub domains for production planning. These factors can critically affect the total cost of manufacturing. In the field of manufacturing design specifications can be obtained by a number of feasible processes. For example a finished hole can be obtained by any one the these sequences viz drilling semi finish boring finish boring, drilling semi finish reaming finish reaming, drilling semi finish grinding finish grinding, etc. The cost of manufacturing depends on the type of process, the value of tolerances allocated to each process and the time required for machining (machine availability). Tighter tolerances for a process results in higher cost of manufacturing and vice versa. An optimization model has been previously proposed to generate the process plan with process and machine selection and optimal tolerance allocations for each process. The objective function of this optimization problem is to reduce the cost of manufacturing. This highly constrained optimization problem is a complex mixed integer nonlinear optimization problem. For a mixed integer nonlinear optimization problem the complexity of the problem increases as the number of process and machine increases. As the size of the optimization problem increase the search space and time required to solve the problem increases. Genetic algorithm simulated annealing and linear approximations have been proposed as methods for solving these problems. This thesis presents a sequential approximation method to solve this complex mixed integer nonlinear optimization problem by formulating and solving a series of IP problems by adding constraints at each iteration reducing the search space which leads to a solution approach that is faster than previous methods. This method uses point estimates of tolerance values obtained from previous iteration to update the cost parameters in the sequential iteration. The optimization problem is modeled in AMPL and solved using CPLEX. A custom C++ interface to AMPL is used to implement this method. Results from this method are compared to results from previous solution approaches. The proposed approximation method identifies similar cost of manufacturing solutions with different process plans in less time than other solving techniques." @default.
• W75148811 created "2016-06-24" @default.
• W75148811 creator A5000755624 @default.
• W75148811 date "2003-01-01" @default.
• W75148811 modified "2023-09-27" @default.
• W75148811 title "AN EFFICIENT SEQUENTIAL INTEGER OPTIMIZATION TECHNIQUE FOR PROCESS PLANNING AND TOLERANCE ALLOCATION" @default.
• W75148811 cites W1519405745 @default.
• W75148811 cites W1544796354 @default.
• W75148811 cites W1581640946 @default.
• W75148811 cites W2096725189 @default.
• W75148811 cites W2601429128 @default.
• W75148811 cites W2625308472 @default.
• W75148811 cites W39973247 @default.
• W75148811 hasPublicationYear "2003" @default.
• W75148811 type Work @default.
• W75148811 sameAs 75148811 @default.
• W75148811 citedByCount "0" @default.
• W75148811 crossrefType "journal-article" @default.
• W75148811 hasAuthorship W75148811A5000755624 @default.
• W75148811 hasConcept C111919701 @default.
• W75148811 hasConcept C121332964 @default.
• W75148811 hasConcept C126255220 @default.
• W75148811 hasConcept C126980161 @default.
• W75148811 hasConcept C127413603 @default.
• W75148811 hasConcept C137836250 @default.
• W75148811 hasConcept C158622935 @default.
• W75148811 hasConcept C33923547 @default.
• W75148811 hasConcept C41008148 @default.
• W75148811 hasConcept C523214423 @default.
• W75148811 hasConcept C62520636 @default.
• W75148811 hasConcept C78519656 @default.
• W75148811 hasConcept C8880873 @default.
• W75148811 hasConcept C98045186 @default.
• W75148811 hasConceptScore W75148811C111919701 @default.
• W75148811 hasConceptScore W75148811C121332964 @default.
• W75148811 hasConceptScore W75148811C126255220 @default.
• W75148811 hasConceptScore W75148811C126980161 @default.
• W75148811 hasConceptScore W75148811C127413603 @default.
• W75148811 hasConceptScore W75148811C137836250 @default.
• W75148811 hasConceptScore W75148811C158622935 @default.
• W75148811 hasConceptScore W75148811C33923547 @default.
• W75148811 hasConceptScore W75148811C41008148 @default.
• W75148811 hasConceptScore W75148811C523214423 @default.
• W75148811 hasConceptScore W75148811C62520636 @default.
• W75148811 hasConceptScore W75148811C78519656 @default.
• W75148811 hasConceptScore W75148811C8880873 @default.
• W75148811 hasConceptScore W75148811C98045186 @default.
• W75148811 hasLocation W751488111 @default.
• W75148811 hasOpenAccess W75148811 @default.
• W75148811 hasPrimaryLocation W751488111 @default.
• W75148811 hasRelatedWork W1167879489 @default.
• W75148811 hasRelatedWork W1532488429 @default.
• W75148811 hasRelatedWork W1966825570 @default.
• W75148811 hasRelatedWork W1971831705 @default.
• W75148811 hasRelatedWork W1975025656 @default.
• W75148811 hasRelatedWork W1984540451 @default.
• W75148811 hasRelatedWork W2011771382 @default.
• W75148811 hasRelatedWork W2015062881 @default.
• W75148811 hasRelatedWork W2036722226 @default.
• W75148811 hasRelatedWork W2058432001 @default.
• W75148811 hasRelatedWork W2065992176 @default.
• W75148811 hasRelatedWork W2116967542 @default.
• W75148811 hasRelatedWork W2186192025 @default.
• W75148811 hasRelatedWork W2365252583 @default.
• W75148811 hasRelatedWork W2565538800 @default.
• W75148811 hasRelatedWork W2572276715 @default.
• W75148811 hasRelatedWork W2726305832 @default.
• W75148811 hasRelatedWork W3190282061 @default.
• W75148811 hasRelatedWork W3208407217 @default.
• W75148811 hasRelatedWork W50458797 @default.
• W75148811 isParatext "false" @default.
• W75148811 isRetracted "false" @default.
• W75148811 magId "75148811" @default.
• W75148811 workType "article" @default.