Enhancing the Reach of Socially Missioned Nonprofits: Insights from a TOC-LP Application
References
- (2001) Role of management science techniques in operations improvement in small firms. Production Inventory Management J. 42(2):14–21.Google Scholar
- (2018) Harvest Hope Food Bank optimizes its promotional strategy to raise donations using integer programming. Interfaces 48(4):291–306.Link, Google Scholar
- (2019) A risk-based approach to improving disaster relief asset pre-positioning. Production Oper. Management 28(2):457–478.Google Scholar
- (2004) An improved algorithm for optimizing product mix under the theory of constraints. Internat. J. Production Res. 42(20):4221–4233.Google Scholar
- (2014) Hierarchical multi-skill resource assignment in the telecommunications industry. Production Oper. Management 23(3):489–503.Google Scholar
- (2008) Performance measurement in humanitarian relief chains. Internat. J. Public Sector Management 21(1)4–25.Google Scholar
- (2019) Challenges and strategies in managing nonprofit operations: An operations management perspective. Manufacturing Service Oper. Management 22(5):888–905.Link, Google Scholar
- (2007) Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP. Eur. J. Oper. Res. 177(1):55–70.Google Scholar
- (2014) A bottleneck analysis in the Ifrc supply chain. J. Humanitarian Logist. Supply Chain Management 4(2)222–244.Google Scholar
- (2016) Designing an efficient humanitarian supply network. J. Oper. Management 47:58–70.Google Scholar
- (2016) Duality approaches to economic lot-sizing games. Production Oper. Management 25(7):1203–1215.Google Scholar
- (2000) Production outsourcing: A linear programming model for the theory-of-constraints. Internat. J. Production Res. 38(7):1631–1639.Google Scholar
- (2015) Applying Goldratt’s theory of constraints to reduce the bullwhip effect through agent-based modeling. Expert Systems Appl. 42(4):2049–2060.Google Scholar
- (1963) Linear Programming and Extensions (Princeton University Press, Princeton, NJ).Google Scholar
- (2014) Vehicle procurement policy for humanitarian development programs. Production Oper. Management 23(6):951–964.Google Scholar
- (2019) Take-up and targeting: Experimental evidence from snap. Quart. J. Econom. 134(3):1505–1556.Google Scholar
- (2017) What does the nonprofit sector really look like. Accessed June 2020, https://trust.guidestar.org/.Google Scholar
- (1997) Improving the product mix heuristic in the theory of constraints. Internat. J. Production Res. 35(6):1535–1544.Google Scholar
- (1994) It’s not luck: The saga of Alex Rogo. J. Bus. Strategy 15(6):28–28.Google Scholar
- (1984) The Goal: An Ongoing Improvement Process (Gower, Aldershot, UK).Google Scholar
- (2003) A market utility-based model for capacity scheduling in mass services. Production Oper. Management 12(2):165–185.Google Scholar
- (2017) Improving home care: Knowledge creation through engagement and design. J. Oper. Management 53:9–22.Google Scholar
- (2016) Process improvement for professionalizing non-profit organizations: BPM approach. Bus. Process Management J. 22(3):634–658.Google Scholar
- (1993) Solving airline crew scheduling problems by branch-and-cut. Management Sci. 39(6):657–682.Link, Google Scholar
- (2000) A comparative analysis of utilizing activity-based costing and the theory of constraints for making product-mix decisions. Internat. J. Production Econom. 63(1):1–17.Google Scholar
- (2018) Asking for help: A qualitative study of barriers to help seeking in the private sector. J. Soc. Soc. Work Res. 9(1):107–130.Google Scholar
- (2008) An insurance risk management framework for disaster relief and supply chain disruption inventory planning. J. Oper. Res. Soc. 59(5):674–684.Google Scholar
- (2017) Tailored Benders decomposition for a long-term power expansion model with short-term demand response. Management Sci. 63(6):2027–2048.Link, Google Scholar
- (1992) Theory of constraints and linear programming: A comparison. Internat. J. Production Res. 30(6):1471–1478.Google Scholar
- (1998) Synergies from spreadsheet LP used with the theory of constraints—A case study. J. Oper. Res. Soc. 49(9):918–927.Google Scholar
- (1994) Equity measurement in facility location analysis: A review and framework. Eur. J. Oper. Res. 74(1):1–17.Google Scholar
- (2007) Large-scale data envelopment analysis (dea) implementation: A strategic performance management approach. J. Oper. Res. Soc. 58(8):1084–1098.Google Scholar
- (2016) Systemic approach to supply chain management through the viable system model and the theory of constraints. Production Planning Control 27(5):421–430.Google Scholar
- (2018) A multi-start optimization-based heuristic for a food bank distribution problem. J. Oper. Res. Soc. 69(5):691–706.Google Scholar
- SCThrive.org (2020) Who we are. Accessed May 2020, https://scthrive.org/who-we-are/.Google Scholar
- (2005) Managing demand risk in tactical supply chain planning for a global consumer electronics company. Production Oper. Management 14(1):69–79.Google Scholar
- (2007) Warner Robins Air Logistics Center streamlines aircraft repair and overhaul. Interfaces 37(1):7–21.Link, Google Scholar
- (2006) Economic lot scheduling problem with returns. Production Oper. Management 15(4):488–497.Google Scholar
- (2000) Manage your projects for success: An application of the theory of constraints. Production Inventory Management J. 41(2):27.Google Scholar
- (2000) Performance of decomposition procedures for job shop scheduling problems with bottleneck machines. Internat. J. Production Res. 38(6):1271–1286.Google Scholar
- (2015) A dynamic disaggregation approach to approximate linear programs for network revenue management. Production Oper. Management 24(3):469–487.Google Scholar
- (2003) Comparison of DRP and TOC financial performance within a multi-product, multi-echelon physical distribution environment. Internat. J. Production Res. 41(4):741–765.Google Scholar
- (2017) Manufacturing flexibility, business model design, and firm performance. Internat. J. Production Econom. 193:87–97.Google Scholar
- (2003) Enhancement of theory of constraints replenishment using a novel generic buffer management procedure. Internat. J. Production Res. 41(4):725–740.Google Scholar

